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"sha256:20cc7d723ed729276e808f26fb6b3599f786cbc37e06c65e192ba77c40f20aac"}, + {file = "xmltodict-0.14.2.tar.gz", hash = "sha256:201e7c28bb210e374999d1dde6382923ab0ed1a8a5faeece48ab525b7810a553"}, ] +[extras] +chart = [] + [metadata] lock-version = "2.0" python-versions = "^3.11" -content-hash = "d07db069cc2e9b10d8fb8a1b1bb00e1135975ec2df1399db27c988390580fb95" +content-hash = "989507b1d8cc384f7d678764ab63614ecf4c777dcf9732e253f05d80f3ad5d41" diff --git a/sdk/pyproject.toml b/sdk/pyproject.toml index ac0dbd25..4484922f 100644 --- a/sdk/pyproject.toml +++ b/sdk/pyproject.toml @@ -15,12 +15,15 @@ pydantic = "^2.7.1" boto3 = "^1.34.111" pandas = "^2.2.2" - [tool.poetry.group.dev.dependencies] responses = "^0.25.0" pytest = "^8.2.0" ruff = "^0.4.4" moto = {extras = ["s3"], version = "^5.0.7"} +jupyter = "^1.1.1" + +[tool.poetry.extras] +chart = ["ipecharts"] [build-system] requires = ["poetry-core"] diff --git a/sdk/radicalbit_platform_sdk/charts/__init__.py b/sdk/radicalbit_platform_sdk/charts/__init__.py new file mode 100644 index 00000000..19c88508 --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/__init__.py @@ -0,0 +1,8 @@ +from .chart_data import NumericalBarChartData, ConfusionMatrixChartData +from .chart import Chart + +__all__ = [ + 'ConfusionMatrixChartData', + 'NumericalBarChartData', + 'Chart' +] diff --git a/sdk/radicalbit_platform_sdk/charts/binary_classification/__init__.py b/sdk/radicalbit_platform_sdk/charts/binary_classification/__init__.py new file mode 100644 index 00000000..50753f5b --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/binary_classification/__init__.py @@ -0,0 +1,8 @@ +from .binary_chart import BinaryChart +from .binary_chart_data import BinaryDistributionChartData, BinaryLinearChartData + +__all__ = [ + 'BinaryChart', + 'BinaryDistributionChartData', + 'BinaryLinearChartData' +] diff --git a/sdk/radicalbit_platform_sdk/charts/binary_classification/binary_chart.py b/sdk/radicalbit_platform_sdk/charts/binary_classification/binary_chart.py new file mode 100644 index 00000000..917b1722 --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/binary_classification/binary_chart.py @@ -0,0 +1,149 @@ +from ipecharts import EChartsRawWidget + +from ..utils import get_chart_header +from .binary_chart_data import BinaryDistributionChartData, BinaryLinearChartData + + +class BinaryChart: + def __init__(self) -> None: + pass + + def distribution_chart(self, data: BinaryDistributionChartData) -> EChartsRawWidget: + assert len(data.reference_data) <= 2 + assert len(data.y_axis_label) <= 2 + + if data.current_data: + assert len(data.current_data) <= 2 + + reference_json_data = [binary_data.model_dump() for binary_data in data.reference_data] + current_data_json = [binary_data.model_dump() for binary_data in data.current_data] if data.current_data else [] + + reference_series_data = { + 'title': data.title, + 'type': 'bar', + 'itemStyle': {'color': '#9B99A1'}, + 'data': reference_json_data, + 'color': '#9B99A1', + 'name': 'Reference', + 'label': { + 'show': True, + 'position': 'insideRight', + 'fontWeight': 'bold', + 'color': '#FFFFFF', + }, + } + + current_series_data = { + 'title': data.title + '_current', + 'type': 'bar', + 'itemStyle': {}, + 'data': current_data_json, + 'color': '#3695d9', + 'name': 'Current', + 'label': { + 'show': True, + 'position': 'insideRight', + 'fontWeight': 'bold', + 'color': '#FFFFFF', + }, + } + + series = ( + [reference_series_data] + if not data.current_data + else [reference_series_data, current_series_data] + ) + + option = { + 'grid': { + 'left': 0, + 'right': 20, + 'bottom': 0, + 'top': 40, + 'containLabel': True, + }, + 'xAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + }, + 'yAxis': { + 'type': 'category', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': {'fontSize': 12, 'color': '#9B99A1'}, + 'data': data.y_axis_label, + }, + 'emphasis': {'disabled': True}, + 'barCategoryGap': '21%', + 'barGap': '0', + 'itemStyle': {'borderWidth': 1, 'borderColor': 'rgba(201, 25, 25, 1)'}, + 'series': series, + } + + option.update(get_chart_header(title=data.title)) + + return EChartsRawWidget(option=option) + + def linear_chart(self, data: BinaryLinearChartData) -> EChartsRawWidget: + + reference_series_data = { + 'name': 'Reference', + 'type': 'line', + 'lineStyle': {'width': 2.2, 'color': '#9B99A1', 'type': 'dotted'}, + 'symbol': 'none', + 'data': data.reference_data, + 'itemStyle': {'color': '#9B99A1'}, + 'endLabel': {'show': True, 'color': '#9B99A1'}, + 'color': '#9B99A1', + } + + current_series_data = { + 'name': data.title, + 'type': 'line', + 'lineStyle': {'width': 2.2, 'color': '#73B2E0'}, + 'symbol': 'none', + 'data': data.current_data, + 'itemStyle': {'color': '#73B2E0'}, + } + + series = [reference_series_data, current_series_data] + + options = { + 'tooltip': { + 'trigger': 'axis', + 'crosshairs': True, + 'axisPointer': {'type': 'cross', 'label': {'show': True}}, + }, + 'yAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + 'scale': True, + }, + 'xAxis': { + 'type': 'time', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': {'fontSize': 12, 'color': '#9b99a1'}, + 'scale': True, + }, + 'grid': { + 'bottom': 0, + 'top': 32, + 'left': 0, + 'right': 64, + 'containLabel': True, + }, + 'series': series, + 'legend': { + 'show': True, + 'textStyle': {'color': '#9B99A1'}, + }, + } + + options.update(get_chart_header(title=data.title)) + + return EChartsRawWidget(option=options) diff --git a/sdk/radicalbit_platform_sdk/charts/binary_classification/binary_chart_data.py b/sdk/radicalbit_platform_sdk/charts/binary_classification/binary_chart_data.py new file mode 100644 index 00000000..b31e6cb1 --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/binary_classification/binary_chart_data.py @@ -0,0 +1,22 @@ +from typing import List, Optional + +from pydantic import BaseModel + + +class BinaryDistributionData(BaseModel): + percentage: float + count: float + value: float + + +class BinaryDistributionChartData(BaseModel): + title: str + y_axis_label: List[str] + reference_data: List[BinaryDistributionData] + current_data: Optional[List[BinaryDistributionData]] = None + + +class BinaryLinearChartData(BaseModel): + title: str + reference_data: List[List[str]] + current_data: List[List[str]] diff --git a/sdk/radicalbit_platform_sdk/charts/chart.py b/sdk/radicalbit_platform_sdk/charts/chart.py new file mode 100644 index 00000000..f323133e --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/chart.py @@ -0,0 +1,131 @@ +from ipecharts import EChartsRawWidget +import numpy as np + +from .chart_data import ConfusionMatrixChartData, NumericalBarChartData +from .utils import get_chart_header, get_formatted_bucket_data + + +class Chart: + def __init__(self) -> None: + pass + + def numerical_bar_chart(self, data: NumericalBarChartData) -> EChartsRawWidget: + bucket_data_formatted = get_formatted_bucket_data(bucket_data=data.bucket_data) + + reference_data_json = { + 'title': 'reference', + 'type': 'bar', + 'name': 'Reference', + 'itemStyle': {'color': '#9B99A1'}, + 'data': data.reference_data, + } + + current_data_json = { + 'title': 'current', + 'type': 'bar', + 'name': 'Current', + 'itemStyle': {'color': '#3695D9'}, + 'data': data.current_data, + } + + series = ( + [reference_data_json] + if not data.current_data + else [reference_data_json, current_data_json] + ) + + option = { + 'grid': { + 'left': 0, + 'right': 20, + 'bottom': 0, + 'top': 40, + 'containLabel': True, + }, + 'xAxis': { + 'type': 'category', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': { + 'fontSize': 12, + 'interval': 0, + 'color': '#9B99A1', + 'rotate': 20, + }, + 'data': bucket_data_formatted, + }, + 'yAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9B99A1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + }, + 'emphasis': {'disabled': True}, + 'barCategoryGap': '0', + 'barGap': '0', + 'itemStyle': {'borderWidth': 1, 'borderColor': 'rgba(201, 25, 25, 1)'}, + 'series': series, + } + + option.update(get_chart_header(title=data.title)) + + return EChartsRawWidget(option=option) + + def confusion_matrix_chart( + self, data: ConfusionMatrixChartData + ) -> EChartsRawWidget: + assert len(data.matrix) == len(data.axis_label) * len( + data.axis_label + ), 'axis_label count and matrix item count are not compatibile' + + np_matrix = np.matrix(data.matrix) + + options = { + 'yAxis': { + 'type': 'category', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': {'fontSize': 12, 'color': '#9B99A1'}, + 'data': data.axis_label, + 'name': 'Actual', + 'nameGap': 25, + 'nameLocation': 'middle', + }, + 'xAxis': { + 'type': 'category', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': { + 'fontSize': 12, + 'interval': 0, + 'color': '#9b99a1', + 'rotate': 45, + }, + 'data': data.axis_label.reverse(), + 'name': 'Predicted', + 'nameGap': 25, + 'nameLocation': 'middle', + }, + 'grid': {'bottom': 60, 'top': 0, 'left': 44, 'right': 80}, + 'emphasis': {'disabled': True}, + 'axis': {'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}}, + 'visualMap': { + 'calculable': True, + 'orient': 'vertical', + 'right': 'right', + 'top': 'center', + 'itemHeight': '250rem', + 'max': np_matrix.max(), + 'inRange': {'color': data.color}, + }, + 'series': { + 'name': '', + 'type': 'heatmap', + 'label': {'show': True}, + 'data': data.matrix, + }, + } + + return EChartsRawWidget(option=options) diff --git a/sdk/radicalbit_platform_sdk/charts/chart_data.py b/sdk/radicalbit_platform_sdk/charts/chart_data.py new file mode 100644 index 00000000..79f10300 --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/chart_data.py @@ -0,0 +1,16 @@ +from typing import List, Optional + +from pydantic import BaseModel + + +class NumericalBarChartData(BaseModel): + title: str + bucket_data: List[str] + reference_data: List[float] + current_data: Optional[List[float]] = None + + +class ConfusionMatrixChartData(BaseModel): + axis_label: List[str] + matrix: List[List[float]] + color: Optional[List[str]] = ['#FFFFFF', '#9B99A1'] diff --git a/sdk/radicalbit_platform_sdk/charts/multi_classification/__init__.py b/sdk/radicalbit_platform_sdk/charts/multi_classification/__init__.py new file mode 100644 index 00000000..c9ab2a3c --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/multi_classification/__init__.py @@ -0,0 +1,9 @@ +from .multi_class_chart import MultiClassificationChart +from .multi_class_chart_data import MultiClassificationDistributionChartData, MultiClassificationLinearChartData, MultiClassificationLinearData + +__all__ = [ + 'MultiClassificationChart', + 'MultiClassificationDistributionChartData', + 'MultiClassificationLinearChartData', + 'MultiClassificationLinearData' +] diff --git a/sdk/radicalbit_platform_sdk/charts/multi_classification/multi_class_chart.py b/sdk/radicalbit_platform_sdk/charts/multi_classification/multi_class_chart.py new file mode 100644 index 00000000..fba37ad7 --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/multi_classification/multi_class_chart.py @@ -0,0 +1,167 @@ +from ipecharts import EChartsRawWidget +from IPython.display import display + +from ..utils import get_chart_header +from .multi_class_chart_data import ( + MultiClassificationDistributionChartData, + MultiClassificationLinearChartData, +) + + +class MultiClassificationChart: + def __init__(self) -> None: + pass + + def distribution_chart( + self, data: MultiClassificationDistributionChartData + ) -> EChartsRawWidget: + + reference_json_data = [multi_class_data.model_dump() for multi_class_data in data.reference_data] + current_data_json = [multi_class_data.model_dump() for multi_class_data in data.current_data] if data.current_data else [] + + reference_series_data = { + 'title': data.title, + 'type': 'bar', + 'name': 'Reference', + 'itemStyle': {'color': '#9B99A1'}, + 'data': reference_json_data, + } + + current_series_data = { + 'title': data.title + '_current', + 'type': 'bar', + 'name': 'Current', + 'itemStyle': {'color': '#3695d9'}, + 'data': current_data_json, + } + + series = ( + [reference_series_data] + if not data.current_data + else [reference_series_data, current_series_data] + ) + + option = { + 'grid': { + 'left': 0, + 'right': 20, + 'bottom': 0, + 'top': 40, + 'containLabel': True, + }, + 'xAxis': { + 'type': 'category', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': { + 'fontSize': 12, + 'interval': 0, + 'color': '#9b99a1', + 'rotate': 35, + }, + 'data': data.x_axis_label, + }, + 'yAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + }, + 'emphasis': {'disabled': True}, + 'barCategoryGap': '21%', + 'barGap': '0', + 'itemStyle': {'borderWidth': 1, 'borderColor': 'rgba(201, 25, 25, 1)'}, + 'tooltip': { + 'trigger': 'axis', + 'crosshairs': True, + 'axisPointer': {'type': 'cross', 'label': {'show': True}}, + }, + 'series': series, + } + + option.update(get_chart_header(title=data.title)) + + return EChartsRawWidget(option=option) + + def linear_chart( + self, data: MultiClassificationLinearChartData + ) -> EChartsRawWidget: + + series_current_data = [{ + 'name': element.name, + 'type': 'line', + 'lineStyle': {'width': 2.2}, + 'symbol': 'none', + 'data': element.values, + } for element in data.current_data ] + + series_reference_data = [ { + 'name': element.name, + 'type': 'line', + 'lineStyle': {'width': 2, 'type': 'dotted'}, + 'symbol': 'none', + 'data': element.values, + 'endLabel': { + 'show': True, + 'color': '#9B99A1', + }, + } for element in data.reference_data] + + + series = series_current_data + series_reference_data + + options = { + 'yAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + }, + 'xAxis': { + 'type': 'time', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': {'fontSize': 12, 'color': '#9b99a1'}, + }, + 'grid': { + 'bottom': 0, + 'top': 32, + 'left': 0, + 'right': 140, + 'containLabel': True, + }, + 'color': [ + '#00BFFF', + '#1E90FF', + '#00CED1', + '#20B2AA', + '#4169E1', + '#6A5ACD', + '#8A2BE2', + '#9400D3', + '#BA55D3', + ], + 'legend': { + 'right': 0, + 'top': 16, + 'bottom': 0, + 'orient': 'vertical', + 'type': 'scroll', + 'scrollDataIndex': 'scroll', + 'pageIconSize': 8, + 'pageTextStyle': {'fontSize': 9, 'color': '#9b99a1'}, + 'textStyle': {'fontSize': 9, 'color': '#9B99A1', 'fontWeight': '300'}, + }, + 'tooltip': {'trigger': 'axis'}, + 'emphasis': {'focus': 'series'}, + 'title': { + 'text': '••• Reference', + 'textStyle': {'fontSize': 10, 'fontWeight': '300', 'color': '#9B99A1'}, + 'right': 0, + }, + 'series': series, + } + + display(data.title) + + return EChartsRawWidget(option=options) diff --git a/sdk/radicalbit_platform_sdk/charts/multi_classification/multi_class_chart_data.py b/sdk/radicalbit_platform_sdk/charts/multi_classification/multi_class_chart_data.py new file mode 100644 index 00000000..cb5f5154 --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/multi_classification/multi_class_chart_data.py @@ -0,0 +1,27 @@ +from typing import List, Optional + +from pydantic import BaseModel + + +class MultiClassificationDistributionData(BaseModel): + percentage: float + count: float + value: float + + +class MultiClassificationDistributionChartData(BaseModel): + title: str + x_axis_label: List[str] + reference_data: List[MultiClassificationDistributionData] + current_data: Optional[List[MultiClassificationDistributionData]] = None + + +class MultiClassificationLinearData(BaseModel): + name: str + values: List[List[str]] + + +class MultiClassificationLinearChartData(BaseModel): + title: str + reference_data: List[MultiClassificationLinearData] + current_data: List[MultiClassificationLinearData] diff --git a/sdk/radicalbit_platform_sdk/charts/regression/__init__.py b/sdk/radicalbit_platform_sdk/charts/regression/__init__.py new file mode 100644 index 00000000..50855c68 --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/regression/__init__.py @@ -0,0 +1,10 @@ +from .regression_chart import RegressionChart +from .regression_chart_data import RegressionDistributionChartData, RegressionPredictedActualChartData,RegressionResidualScatterChartData,RegressionResidualBucketChartData + +__all__ = [ + 'RegressionChart', + 'RegressionDistributionChartData', + 'RegressionPredictedActualChartData', + 'RegressionResidualScatterChartData', + 'RegressionResidualBucketChartData' +] diff --git a/sdk/radicalbit_platform_sdk/charts/regression/regression_chart.py b/sdk/radicalbit_platform_sdk/charts/regression/regression_chart.py new file mode 100644 index 00000000..08f1194f --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/regression/regression_chart.py @@ -0,0 +1,253 @@ +from ipecharts import EChartsRawWidget +from IPython.display import display +import numpy as np + +from ..utils import get_chart_header, get_formatted_bucket_data +from .regression_chart_data import ( + RegressionDistributionChartData, + RegressionPredictedActualChartData, + RegressionResidualBucketChartData, + RegressionResidualScatterChartData, +) + + +class RegressionChart: + def __init__(self) -> None: + pass + + def distribution_chart( + self, data: RegressionDistributionChartData + ) -> EChartsRawWidget: + bucket_data_formatted = get_formatted_bucket_data(bucket_data=data.bucket_data) + + reference_series_data = { + 'title': 'reference', + 'type': 'bar', + 'name': 'Reference', + 'itemStyle': {'color': '#9B99A1'}, + 'data': data.reference_data, + } + + current_series_data = { + 'title': 'current', + 'type': 'bar', + 'name': 'Current', + 'itemStyle': {'color': '#3695d9'}, + 'data': data.current_data, + } + + series = ( + [reference_series_data] + if not data.current_data + else [reference_series_data, current_series_data] + ) + + option = { + 'grid': { + 'left': 0, + 'right': 20, + 'bottom': 0, + 'top': 40, + 'containLabel': True, + }, + 'xAxis': { + 'type': 'category', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': { + 'fontSize': 12, + 'interval': 0, + 'color': '#9b99a1', + 'rotate': 20, + }, + 'data': bucket_data_formatted, + }, + 'yAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + }, + 'emphasis': {'disabled': True}, + 'barCategoryGap': '0', + 'barGap': '0', + 'itemStyle': {'borderWidth': 1, 'borderColor': 'rgba(201, 25, 25, 1)'}, + 'series': series, + } + + option.update(get_chart_header(title=data.title)) + + return EChartsRawWidget(option=option) + + def predicted_actual_chart( + self, data: RegressionPredictedActualChartData + ) -> EChartsRawWidget: + + np_array = np.array(data.scatter_data) + x_max = np_array.max() + x_min = np_array.min() + + regression_line_data = [ + [x_min, (data.coefficient * x_min) + data.intercept], + [x_max, (data.coefficient * x_max) + data.intercept], + ] + + diagonal_line_data = [[x_min, x_min], [x_max, x_max]] + + options = { + 'grid': { + 'left': 20, + 'right': 0, + 'bottom': 50, + 'top': 24, + 'containLabel': True, + }, + 'xAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + 'name': 'ground_truth', + 'nameGap': 25, + 'nameLocation': 'middle', + 'scale': True, + }, + 'yAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + 'name': 'prediction', + 'nameGap': 25, + 'nameLocation': 'middle', + 'scale': True, + }, + 'tooltip': { + 'axisPointer': { + 'show': True, + 'type': 'cross', + 'lineStyle': {'type': 'dashed', 'width': 1}, + } + }, + 'series': [ + { + 'name': '', + 'type': 'scatter', + 'emphasis': {'focus': 'series'}, + 'color': data.color, + 'data': data.scatter_data, + }, + { + 'name': 'Diagonal line', + 'type': 'line', + 'lineStyle': {'width': 2.2, 'color': '#FFC000'}, + 'symbol': 'none', + 'data': diagonal_line_data, + 'itemStyle': {'color': '#FFC000'}, + }, + { + 'name': 'Regression line', + 'type': 'line', + 'lineStyle': {'width': 2.2, 'color': '#8D6ECF'}, + 'symbol': 'none', + 'data': regression_line_data, + 'itemStyle': {'color': '#8D6ECF'}, + }, + ], + 'legend': {'show': True, 'textStyle': {'color': '#9B99A1'}, 'right': 0}, + } + + display('prediction vs ground_truth') + + return EChartsRawWidget(option=options) + + def residual_scatter_chart( + self, data: RegressionResidualScatterChartData + ) -> EChartsRawWidget: + + options = { + 'grid': { + 'left': 20, + 'right': 0, + 'bottom': 50, + 'top': 24, + 'containLabel': True, + }, + 'xAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + 'name': 'prediction', + 'nameGap': 25, + 'nameLocation': 'middle', + 'axisLine': {'lineStyle': {'width': 2, 'type': 'dashed'}}, + }, + 'yAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + 'name': 'standardized residuals', + 'nameGap': 25, + 'nameLocation': 'middle', + 'scale': False, + }, + 'tooltip': { + 'axisPointer': { + 'show': True, + 'type': 'cross', + 'lineStyle': {'type': 'dashed', 'width': 1}, + } + }, + 'series': [ + { + 'name': '', + 'type': 'scatter', + 'emphasis': {'focus': 'series'}, + 'color': data.color, + 'data': data.scatter_data, + } + ], + } + + return EChartsRawWidget(option=options) + + def residual_bucket_chart( + self, data: RegressionResidualBucketChartData + ) -> EChartsRawWidget: + + bucket_data_formatted = get_formatted_bucket_data(bucket_data=data.bucket_data) + + options = { + 'grid': { + 'left': 0, + 'right': 20, + 'bottom': 0, + 'top': 10, + 'containLabel': True, + }, + 'xAxis': { + 'type': 'category', + 'axisTick': {'show': False}, + 'axisLine': {'show': False}, + 'splitLine': {'show': False}, + 'axisLabel': { + 'fontSize': 12, + 'interval': 0, + 'color': '#9b99a1', + 'rotate': 20, + }, + 'data': bucket_data_formatted, + }, + 'yAxis': { + 'type': 'value', + 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, + 'splitLine': {'lineStyle': {'color': '#9f9f9f54'}}, + }, + 'emphasis': {'disabled': True}, + 'barCategoryGap': '0', + 'barGap': '0', + 'itemStyle': {'borderWidth': 1, 'borderColor': 'rgba(201, 25, 25, 1)'}, + 'series': [ + {'type': 'bar', 'itemStyle': {'color': '#3695d9'}, 'data': data.values} + ], + } + + return EChartsRawWidget(option=options) diff --git a/sdk/radicalbit_platform_sdk/charts/regression/regression_chart_data.py b/sdk/radicalbit_platform_sdk/charts/regression/regression_chart_data.py new file mode 100644 index 00000000..f2ddf25c --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/regression/regression_chart_data.py @@ -0,0 +1,28 @@ +from typing import List, Optional + +from pydantic import BaseModel + + +class RegressionDistributionChartData(BaseModel): + title: str + bucket_data: List[str] + reference_data: List[float] + current_data: Optional[List[float]] = None + + +class RegressionPredictedActualChartData(BaseModel): + scatter_data: List[List[float]] + coefficient: float + intercept: float + color: str = '#9B99A1' + + +class RegressionResidualScatterChartData(BaseModel): + scatter_data: List[List[float]] + color: str = '#9B99A1' + + +class RegressionResidualBucketChartData(BaseModel): + bucket_data: List[str] + values: List[float] + color: str = '#3695d9' diff --git a/sdk/radicalbit_platform_sdk/charts/utils.py b/sdk/radicalbit_platform_sdk/charts/utils.py new file mode 100644 index 00000000..85864ffc --- /dev/null +++ b/sdk/radicalbit_platform_sdk/charts/utils.py @@ -0,0 +1,21 @@ +from typing import List + + +def get_formatted_bucket_data(bucket_data: List[str]) -> List[str]: + bucket_data_formatted = [] + bucket_data_len = len(bucket_data) - 1 + + for idx, d in enumerate(bucket_data): + close_bracket = ']' if idx == bucket_data_len - 1 else ')' + if idx < bucket_data_len: + element = '[' + d + ',' + bucket_data[idx + 1] + close_bracket + bucket_data_formatted.append(element) + + return bucket_data_formatted + + +def get_chart_header(title: str): + return { + 'title': {'text': title, 'textStyle': {'fontSize': 14}}, + 'legend': {'center': 'center'}, + } diff --git a/sdk/tests/chart/binary_charts.ipynb b/sdk/tests/chart/binary_charts.ipynb new file mode 100644 index 00000000..ba2d8ff7 --- /dev/null +++ b/sdk/tests/chart/binary_charts.ipynb @@ -0,0 +1,161 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9c508258-8fd0-4b79-9621-debfcb498ef3", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c208461f85914236a2e4bf0a221e9ca0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.binary_classification import BinaryChart, BinaryDistributionChartData\n", + "\n", + "BinaryChart().distribution_chart(data=\n", + " BinaryDistributionChartData(\n", + " title=\"income 50k\",\n", + " y_axis_label=[\"0.0\",\"1.0\"],\n", + " reference_data=[\n", + " { \"percentage\": 75.7,\"count\": 2271,\"value\": 2271},\n", + " { \"percentage\": 24.3,\"count\": 729,\"value\": 729 }\n", + " ]\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "0d7cf4a4-89a2-4a83-b50c-1a125c65861f", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2e81a599d773400fa1d4fd6563eba90d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.binary_classification import BinaryChart, BinaryDistributionChartData\n", + "\n", + "BinaryChart().distribution_chart(data=\n", + " BinaryDistributionChartData(\n", + " title=\"income 50k\",\n", + " y_axis_label=[\"0.0\",\"1.0\"],\n", + " reference_data=[\n", + " { \"percentage\": 75.7, \"count\": 2271, \"value\": 2271 },\n", + " { \"percentage\": 24.3, \"count\": 729, \"value\": 729 }\n", + " ],\n", + " current_data=[\n", + " { \"percentage\": 75.4, \"count\": 1885, \"value\": 1885 },\n", + " { \"percentage\": 24.6, \"count\": 615, \"value\": 615 }\n", + " ]\n", + " )\n", + ") " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "a197fd36-69cf-46f1-b892-a049cf14f6c4", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b228d5725202435eb5a42c8610251ee3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'tooltip': {'trigger': 'axis', 'crosshairs': True, 'axisPointer': {'type': 'cross', '…" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.binary_classification import BinaryChart,BinaryLinearChartData\n", + "\n", + "BinaryChart().linear_chart(data=\n", + " BinaryLinearChartData(\n", + " title=\"Accuracy\",\n", + " reference_data=[\n", + " [ \"2024-03-10 00:00:00\",\"0.789\" ],\n", + " [ \"2024-03-10 01:00:00\",\"0.789\" ],\n", + " [ \"2024-03-10 02:00:00\",\"0.789\" ],\n", + " [ \"2024-03-10 03:00:00\",\"0.789\" ],\n", + " [ \"2024-03-10 04:00:00\",\"0.789\" ],\n", + " [ \"2024-03-10 05:00:00\",\"0.789\" ],\n", + " [ \"2024-03-10 06:00:00\",\"0.789\" ]\n", + " ],\n", + " current_data=[\n", + " [ \"2024-03-10 00:00:00\",\"0.792\" ],\n", + " [ \"2024-03-10 01:00:00\",\"0.125\" ],\n", + " [ \"2024-03-10 02:00:00\",\"0.792\" ],\n", + " [ \"2024-03-10 03:00:00\",\"0.708\" ],\n", + " [ \"2024-03-10 04:00:00\",\"1\" ],\n", + " [ \"2024-03-10 05:00:00\",\"0\" ],\n", + " [ \"2024-03-10 06:00:00\",\"1\" ]\n", + " ]\n", + " )\n", + ") " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6cdf251f-fc47-47d3-955c-03f78f011e13", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sdk/tests/chart/chart.ipynb b/sdk/tests/chart/chart.ipynb new file mode 100644 index 00000000..559e1875 --- /dev/null +++ b/sdk/tests/chart/chart.ipynb @@ -0,0 +1,154 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f4e9ff8a-6490-4ce7-a01d-fe4d43159f5a", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f501272b23ae43ee9c38584d95ef7090", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts import NumericalBarChartData, Chart\n", + "\n", + "Chart().numerical_bar_chart(data=NumericalBarChartData(\n", + " title=\"Age\",\n", + " bucket_data=[\"19,700\",\"99,400\",\"179,000\",\"259,000\",\"339,000\",\"418,000\",\"498,000\",\"578,000\",\"657,000\",\"737,000\",\"817,000\"],\n", + " reference_data=[502,982,896,356,181,44,24,10,3,2],\n", + " current_data=[]\n", + "))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3a2a5412-7085-48de-87b1-9b7995d918bc", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cfd8d40d8b9c43b693420a4159359b57", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'yAxis': {'type': 'category', 'axisTick': {'show': False}, 'axisLine': {'show': False…" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts import ConfusionMatrixChartData, Chart\n", + "\n", + "Chart().confusion_matrix_chart(data=ConfusionMatrixChartData(axis_label=[\"0\",\"1\"],matrix=[[0,0,281],[1,0,2121],[0,1,448],[1,1,150]]))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5865d9fc-8c08-484e-9b2a-5755eced42f7", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0ce85f6043734a34b85b046301114e79", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'yAxis': {'type': 'category', 'axisTick': {'show': False}, 'axisLine': {'show': False…" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts import ConfusionMatrixChartData, Chart\n", + "\n", + "Chart().confusion_matrix_chart(data=ConfusionMatrixChartData(axis_label=[\"0\",\"1\"],matrix=[[0,0,281],[1,0,2121],[0,1,448],[1,1,150]],color=['#FFFFFF','#3695d9']))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "09407640-2a3d-45db-841d-1d21e63ef6a0", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1a0158e694ee4300af42116172c21daf", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'yAxis': {'type': 'category', 'axisTick': {'show': False}, 'axisLine': {'show': False…" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts import ConfusionMatrixChartData, Chart\n", + "\n", + "Chart().confusion_matrix_chart(data=ConfusionMatrixChartData(\n", + " axis_label=[\"0\",\"1\",\"2\"],\n", + " matrix=[[0,0,2],[1,0,4],[2,0,131],[0,1,3],[1,1,115],[2,1,4],[0,2,102],[1,2,3],[2,2,0]],\n", + " color=['#FFFFFF','#3695d9']))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c2ae305c-17b2-4eab-9bcb-370526358d08", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sdk/tests/chart/multi_class.ipynb b/sdk/tests/chart/multi_class.ipynb new file mode 100644 index 00000000..61772ad5 --- /dev/null +++ b/sdk/tests/chart/multi_class.ipynb @@ -0,0 +1,189 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9ded8395-69cd-4c5e-82dd-69e95d6b8182", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "333a46cbb7d34840b2c7abd6df1ddf3f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.multi_classification import MultiClassificationChart, MultiClassificationDistributionChartData\n", + "\n", + "MultiClassificationChart().distribution_chart(data=\n", + " MultiClassificationDistributionChartData(\n", + " title=\"ground_truth\",\n", + " x_axis_label= [\"0\",\"1\",\"2\"],\n", + " reference_data=[\n", + " { \"percentage\": 31.443298969072163, \"count\": 305, \"value\": 305 },\n", + " { \"percentage\": 31.85567010309278, \"count\": 309, \"value\": 309 },\n", + " { \"percentage\": 36.70103092783505, \"count\": 356, \"value\": 356 }\n", + " ]\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c1f952cc-af88-4479-9111-1b3d6a6cc705", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c58972f60ab04a1785d95f28793ee04c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.multi_classification import MultiClassificationChart, MultiClassificationDistributionChartData\n", + "\n", + "MultiClassificationChart().distribution_chart(data=\n", + " MultiClassificationDistributionChartData(\n", + " title=\"ground_truth\",\n", + " x_axis_label= [\"0\",\"1\",\"2\"],\n", + " reference_data=[\n", + " { \"percentage\": 31.443298969072163, \"count\": 305, \"value\": 305 },\n", + " { \"percentage\": 31.85567010309278, \"count\": 309, \"value\": 309 },\n", + " { \"percentage\": 36.70103092783505, \"count\": 356, \"value\": 356 }\n", + " ],\n", + " current_data=[\n", + " { \"percentage\": 28.846153846153843, \"count\": 105, \"value\": 105 },\n", + " { \"percentage\": 33.51648351648351, \"count\": 122, \"value\": 122 },\n", + " { \"percentage\": 37.637362637362635, \"count\": 137, \"value\": 137 }\n", + " ]\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4064888b-7b71-4581-92db-cb3d142e3213", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Recall'" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3e9d380d2d2d431390c4a0af5fc66f14", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'yAxis': {'type': 'value', 'axisLabel': {'fontSize': 9, 'color': '#9b99a1'}, 'splitLi…" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.multi_classification import MultiClassificationChart, MultiClassificationLinearChartData, MultiClassificationLinearData\n", + "\n", + "MultiClassificationChart().linear_chart(data=MultiClassificationLinearChartData(\n", + " title=\"Recall\",\n", + " reference_data=[\n", + " MultiClassificationLinearData(name='0',values=[ \n", + " [ \"2024-04-09 00:00:00\",\"1\" ],\n", + " [ \"2024-04-10 00:00:00\",\"1\" ],\n", + " [ \"2024-04-11 00:00:00\",\"1\" ],\n", + " [ \"2024-04-12 00:00:00\",\"1\" ]\n", + " ]),\n", + " MultiClassificationLinearData(name='1',values=[ \n", + " [ \"2024-04-09 00:00:00\",\"0.5\" ],\n", + " [ \"2024-04-10 00:00:00\",\"0.5\" ],\n", + " [ \"2024-04-11 00:00:00\",\"0.5\" ],\n", + " [ \"2024-04-12 00:00:00\",\"0.5\" ]\n", + " ])\n", + " ],\n", + " current_data=[\n", + " MultiClassificationLinearData(name='0',values=[ \n", + " [ \"2024-04-09 00:00:00\",\"1\" ],\n", + " [ \"2024-04-10 00:00:00\",\"0.974\" ],\n", + " [ \"2024-04-11 00:00:00\",\"0.95\" ],\n", + " [ \"2024-04-12 00:00:00\",\"1\" ]\n", + " ]),\n", + " MultiClassificationLinearData(name='1',values=[ \n", + " [ \"2024-04-09 00:00:00\",\"0.875\" ],\n", + " [ \"2024-04-10 00:00:00\",\"0.914\" ],\n", + " [ \"2024-04-11 00:00:00\",\"0.7\" ],\n", + " [ \"2024-04-12 00:00:00\",\"0.1\" ]\n", + " ])\n", + " ] \n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "87e59bfc-9a6d-4983-8274-37b01b115d0d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a26a215f-e412-412f-8b19-d1445c9cc92a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sdk/tests/chart/numerical_bar_chart.ipynb b/sdk/tests/chart/numerical_bar_chart.ipynb new file mode 100644 index 00000000..d3b60ffe --- /dev/null +++ b/sdk/tests/chart/numerical_bar_chart.ipynb @@ -0,0 +1,132 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "cf17c43b-22b9-4d43-83bf-4bd03d068b7e", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e15b3fe3c91445bea0e14d8b22718ab1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts import NumericalBarChartData, Chart\n", + "\n", + "Chart().numerical_bar_chart(data=NumericalBarChartData(\n", + " title=\"Age\",\n", + " bucket_data=[\"19,700\",\"99,400\",\"179,000\",\"259,000\",\"339,000\",\"418,000\",\"498,000\",\"578,000\",\"657,000\",\"737,000\",\"817,000\"],\n", + " reference_data=[502,982,896,356,181,44,24,10,3,2]\n", + "))\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d85c083f-2ed3-4049-aeec-effe807fc0bf", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d1053a4f92d0421db12b616923e4aafd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts import NumericalBarChartData, Chart\n", + "\n", + "Chart().numerical_bar_chart(data=NumericalBarChartData(\n", + " title=\"Age\",\n", + " bucket_data=[\"19,700\",\"99,400\",\"179,000\",\"259,000\",\"339,000\",\"418,000\",\"498,000\",\"578,000\",\"657,000\",\"737,000\",\"817,000\"],\n", + " reference_data=[502,982,896,356,181,44,24,10,3,2],\n", + " current_data=[]\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "45ed67a9-1c12-4ae2-a066-eafaa9b06749", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "70dd69f4b6a14251839c97a13e7daba9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts import NumericalBarChartData, Chart\n", + "\n", + "Chart().numerical_bar_chart(data=NumericalBarChartData(\n", + " title=\"Age\",\n", + " bucket_data=[\"19,700\",\"99,400\",\"179,000\",\"259,000\",\"339,000\",\"418,000\",\"498,000\",\"578,000\",\"657,000\",\"737,000\",\"817,000\"],\n", + " reference_data=[502,982,896,356,181,44,24,10,3,2],\n", + " current_data=[502,982,896,356,181,44,24,10,3,2]\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36f0a1fe-37c4-4df9-9980-7ff46e015a32", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sdk/tests/chart/regression.ipynb b/sdk/tests/chart/regression.ipynb new file mode 100644 index 00000000..d5a2d5f7 --- /dev/null +++ b/sdk/tests/chart/regression.ipynb @@ -0,0 +1,237 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 8, + "id": "40f4bb48-0a9a-4076-ac00-81e4f9c80675", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5258a045b1624c1f9e3305bfec6fb1af", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.regression import RegressionChart, RegressionDistributionChartData\n", + "\n", + "RegressionChart().distribution_chart(data=\n", + " RegressionDistributionChartData(\n", + " title=\"ground_truth\",\n", + " bucket_data=[\"0\",\"2.7\",\"5.4\",\"8.1\",\"10.8\",\"13.5\",\"16.2\",\"18.9\",\"21.6\",\"24.3\",\"27\"],\n", + " reference_data=[383,355,367,244,379,331,252,326,331,374]\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e8f96d82-8f3e-4e47-b282-964352f789b8", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "700c4cafec1f4832be39510b65a0afe7", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 40, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.regression import RegressionChart, RegressionDistributionChartData\n", + "\n", + "RegressionChart().distribution_chart(data=\n", + " RegressionDistributionChartData(\n", + " title=\"ground_truth\",\n", + " bucket_data=[\"0\",\"2.7\",\"5.4\",\"8.1\",\"10.8\",\"13.5\",\"16.2\",\"18.9\",\"21.6\",\"24.3\",\"27\"],\n", + " reference_data=[383,355,367,244,379,331,252,326,331,374],\n", + " current_data=[383,355,367,244,379,331,252,326,331,374]\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "a5e0914f-434f-4656-9c07-9e85ea2b5704", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'prediction vs ground_truth'" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e47a6ac4589047238ae6627529860c2c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 20, 'right': 0, 'bottom': 50, 'top': 24, 'containLabel': True}, 'xAx…" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.regression import RegressionPredictedActualChartData, RegressionChart\n", + "\n", + "RegressionChart().predicted_actual_chart(data=RegressionPredictedActualChartData(\n", + " scatter_data=[[11,11],[2,2],[2,2],[17,17],[27,27],[13,13],[7,7],[18,18],[0,22],[13,13],[18,18],[4,4],[22,22],[13,9],[0,0],[27,27],[24,12],[13,13],[16,16],[16,16],[24,24],[13,13],[19,7],[13,13],[8,8],[3,14],[12,12],[6,6],[6,6],[4,4],[24,24],[5,5],[26,26],[12,12],[18,18],[27,27],[12,3],[11,11],[18,18],[3,3],[1,1],[11,8],[0,0],[27,27],[2,2],[26,26],[11,11],[3,3],[8,8],[11,11],[17,17],[26,26]],\n", + " coefficient=0.7942363125434776,\n", + " intercept=2.8227418911402906\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f08f32fe-960b-4bd6-9386-317fa41e5148", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f5f4db3f51d94b26bdb7af7705928323", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 20, 'right': 0, 'bottom': 50, 'top': 24, 'containLabel': True}, 'xAx…" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.regression import RegressionResidualScatterChartData, RegressionChart\n", + "\n", + "RegressionChart().residual_scatter_chart(data=RegressionResidualScatterChartData(\n", + " scatter_data=[[21,0.004549179691821337],[12,0.004549179691821337],[18,0.004549179691821337],[18,-2.4932570457458496],[13,1.157382845878601],[7,0.004549179691821337],[9,0.004549179691821337],[17,0.004549179691821337],[4,0.004549179691821337],[26,0.004549179691821337],[17,0.004549179691821337],[18,0.004549179691821337],[11,0.004549179691821337]]\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "a99f3ce1-63de-42a6-8450-1abc2c94a0f5", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2208d65abcd9472ba443a90931057ed1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 20, 'right': 0, 'bottom': 50, 'top': 24, 'containLabel': True}, 'xAx…" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.regression import RegressionResidualScatterChartData, RegressionChart\n", + "\n", + "RegressionChart().residual_scatter_chart(data=RegressionResidualScatterChartData(\n", + " scatter_data=[[21,0.004549179691821337],[12,0.004549179691821337],[18,0.004549179691821337],[18,-2.4932570457458496],[13,1.157382845878601],[7,0.004549179691821337],[9,0.004549179691821337],[17,0.004549179691821337],[4,0.004549179691821337],[26,0.004549179691821337],[17,0.004549179691821337],[18,0.004549179691821337],[11,0.004549179691821337]],\n", + " color=\"#3695d9\"\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "1776a548-0bcd-42c8-949a-2badaaece702", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "77938a6405964d2f98eb60576e63d26d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "EChartsRawWidget(option={'grid': {'left': 0, 'right': 20, 'bottom': 0, 'top': 10, 'containLabel': True}, 'xAxi…" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from radicalbit_platform_sdk.charts.regression import RegressionChart, RegressionResidualBucketChartData\n", + "\n", + "RegressionChart().residual_bucket_chart(data=\n", + " RegressionResidualBucketChartData(\n", + " bucket_data=[\"-27\",\"-21.7\",\"-16.4\",\"-11.1\",\"-5.8\",\"-0.5\",\"4.8\",\"10.1\",\"15.4\",\"20.7\",\"26\"],\n", + " values=[21,36,79,130,121,3099,120,66,53,34]\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d9bd640-589a-4ea2-9af1-bc10de388a12", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}