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stress_at_work_analysis
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junos 2023-05-10 23:00:03 +02:00
parent 91e7352480
commit 075fdab9ea
1 changed files with 20 additions and 2 deletions
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22
exploration/ml_pipeline_regression.py
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@ -6,7 +6,7 @@
# extension: .py # extension: .py
# format_name: percent # format_name: percent
# format_version: '1.3' # format_version: '1.3'
# jupytext_version: 1.13.0 # jupytext_version: 1.14.5
# kernelspec: # kernelspec:
# display_name: straw2analysis # display_name: straw2analysis
# language: python # language: python
@ -36,7 +36,10 @@ model_input = pd.read_csv(
) )
# %% # %%
CV_METHOD = "half_logo" # logo, half_logo, 5kfold model_input = model_input[model_input["local_segment"].str.contains("daily")]
# %%
CV_METHOD = "logo" # logo, half_logo, 5kfold
model_input_encoded = impute_encode_categorical_features(model_input) model_input_encoded = impute_encode_categorical_features(model_input)
# %% # %%
@ -44,5 +47,20 @@ data_x, data_y, data_groups = prepare_sklearn_data_format(
model_input_encoded, CV_METHOD model_input_encoded, CV_METHOD
) )
cross_validator = prepare_cross_validator(data_x, data_y, data_groups, CV_METHOD) cross_validator = prepare_cross_validator(data_x, data_y, data_groups, CV_METHOD)
# %%
data_y.head()
# %%
data_y.tail()
# %%
data_y.shape
# %% # %%
scores = run_all_regression_models(data_x, data_y, data_groups, cross_validator) scores = run_all_regression_models(data_x, data_y, data_groups, cross_validator)
# %%
scores.to_csv(
"../presentation/JCQ_supervisor_support_regression_" + CV_METHOD + ".csv",
index=False,
)