Merge branch 'master' into bugfix/docs/alexsherstinsky/overall/fix_va…

…rios_typos-2023_11_24-1
ludwig-ai · Nov 29, 2023 · ce1a874 · ce1a874
2 parents b63c878 + b44f37b
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diff --git a/docs/configuration/defaults.md b/docs/configuration/defaults.md
@@ -262,7 +262,7 @@ defaults:
             type: rnn
             cell_type: lstm
             num_layers: 2
-training:
+trainer:
   learning_rate: 0.001
   optimizer:
     type: adam
@@ -271,5 +271,5 @@ training:
 Example CLI command:
 
 ```
-ludwig train --dataset spam.csv --config_str "{input_features: [{name: title, type: text}, {name: body, type: text}, {name: num_characters, type: number, preprocessing: {normalization: zscore}}], output_features: [{name: spam, type: category}], combiner: {type: concat, num_fc_layers: 1}, defaults: {text: {preprocessing: {word_vocab_size: 10000}, encoder: {type: rnn, cell_type: lstm, num_layers: 2}}}, training: {learning_rate: 0.001, optimizer: {type: adam}}"
+ludwig train --dataset spam.csv --config_str "{input_features: [{name: title, type: text}, {name: body, type: text}, {name: num_characters, type: number, preprocessing: {normalization: zscore}}], output_features: [{name: spam, type: category}], combiner: {type: concat, num_fc_layers: 1}, defaults: {text: {preprocessing: {word_vocab_size: 10000}, encoder: {type: rnn, cell_type: lstm, num_layers: 2}}}, trainer: {learning_rate: 0.001, optimizer: {type: adam}}"
 ```
diff --git a/docs/configuration/hyperparameter_optimization.md b/docs/configuration/hyperparameter_optimization.md
@@ -243,7 +243,7 @@ defaults:
   text:
     preprocessing:
       word_vocab_size: 10000
-training:
+trainer:
   learning_rate: 0.001
   optimizer:
     type: adam
@@ -282,5 +282,5 @@ hyperopt:
 Example CLI command:
 
 ```
-ludwig hyperopt --dataset reuters-allcats.csv --config_str "{input_features: [{name: title, type: text, encoder: {type: rnn, cell_type: lstm, num_layers: 2}}], output_features: [{name: class, type: category}], training: {learning_rate: 0.001}, hyperopt: {goal: maximize, output_feature: class, metric: accuracy, split: validation, parameters: {trainer.learning_rate: {space: loguniform, lower: 0.0001, upper: 0.1}, title.encoder.cell_type: {space: choice, categories: [rnn, gru, lstm]}}, search_alg: {type: variant_generator},executor: {type: ray, num_samples: 10}}}"
+ludwig hyperopt --dataset reuters-allcats.csv --config_str "{input_features: [{name: title, type: text, encoder: {type: rnn, cell_type: lstm, num_layers: 2}}], output_features: [{name: class, type: category}], trainer: {learning_rate: 0.001}, hyperopt: {goal: maximize, output_feature: class, metric: accuracy, split: validation, parameters: {trainer.learning_rate: {space: loguniform, lower: 0.0001, upper: 0.1}, title.encoder.cell_type: {space: choice, categories: [rnn, gru, lstm]}}, search_alg: {type: variant_generator},executor: {type: ray, num_samples: 10}}}"
 ```
diff --git a/docs/examples/fuel_efficiency.md b/docs/examples/fuel_efficiency.md
@@ -16,7 +16,7 @@ ludwig experiment \
 With `config.yaml`:
 
 ```yaml
-training:
+trainer:
     batch_size: 32
     epochs: 1000
     early_stop: 50
@@ -49,8 +49,6 @@ output_features:
     -
         name: MPG
         type: number
-        optimizer:
-            type: mean_squared_error
         decoder:
             num_fc_layers: 2
             output_size: 64

diff --git a/docs/examples/machine_translation.md b/docs/examples/machine_translation.md
@@ -38,6 +38,6 @@ output_features:
         preprocessing:
           tokenizer: italian_tokenize
 
-training:
+trainer:
     batch_size: 96
 ```
diff --git a/docs/examples/seq2seq.md b/docs/examples/seq2seq.md
@@ -33,6 +33,6 @@ output_features:
         loss:
             type: softmax_cross_entropy
 
-training:
+trainer:
     batch_size: 96
 ```
diff --git a/docs/examples/speech_recognition.md b/docs/examples/speech_recognition.md
@@ -83,6 +83,6 @@ output_features:
         name: label
         type: category
 
-training:
+trainer:
     early_stop: 10
 ```