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style: format code with Autopep8, Black, ClangFormat, dotnet-format, Go fmt, Gofumpt, Google Java Format, isort, Ktlint, PHP CS Fixer, Prettier, RuboCop, Ruff Formatter, Rustfmt, Scalafmt, StandardJS, StandardRB, swift-format and Yapf #174

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merged 1 commit into from
May 12, 2024
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style: format code with Autopep8, Black, ClangFormat, dotnet-format, Go fmt, Gofumpt, Google Java Format, isort, Ktlint, PHP CS Fixer, Prettier, RuboCop, Ruff Formatter, Rustfmt, Scalafmt, StandardJS, StandardRB, swift-format and Yapf #174

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12 changes: 9 additions & 3 deletions market_conditions_analysis/market_conditions_analyzer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,13 +3,19 @@ def __init__(self, data_preparation, time_series_analysis):
self.data_preparation = data_preparation
self.time_series_analysis = time_series_analysis

def analyze_market_conditions(self, data_file, target_column, exogenous_variables, num_periods):
def analyze_market_conditions(
self, data_file, target_column, exogenous_variables, num_periods
):
"""
Analyzes market conditions using the time series analysis model.
"""
data = self.data_preparation.prepare_data(data_file)

model_fit = self.time_series_analysis.fit_model(data, target_column, exogenous_variables)
market_trends = self.time_series_analysis.predict_market_trends(data, target_column, exogenous_variables, num_periods)
model_fit = self.time_series_analysis.fit_model(
data, target_column, exogenous_variables
)
market_trends = self.time_series_analysis.predict_market_trends(
data, target_column, exogenous_variables, num_periods
)

return market_trends
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