MaterialsProjectFeatureGenerator

class mastml.feature_generators.MaterialsProjectFeatureGenerator(composition_df, api_key)

Bases: BaseGenerator

Class that wraps MaterialsProjectFeatureGeneration, giving it scikit-learn structure

Args:

composition_df: (pd.DataFrame), dataframe containing vector of chemical compositions (strings) to generate elemental features from

mapi_key: (str), string denoting your Materials Project API key

Methods:

fit: pass through, copies input columns as pre-generated features

Args:

df: (dataframe), input dataframe containing X and y data

transform: generate Materials Project features

Args:

df: (dataframe), input dataframe containing X and y data

Returns:

df: (dataframe), output dataframe containing generated features, original features and y data

Methods Summary

fit(X[, y])
generate_materialsproject_features(X)
transform(X)

Methods Documentation

fit(X, y=None)

generate_materialsproject_features(X)

transform(X)