| __init__(self, e_c) | gdayf.normalizer.normalizer.Normalizer | |
| define_ignored_columns(self, dataframe_metadata, objective_column) | gdayf.normalizer.normalizer.Normalizer | |
| define_minimal_norm(self, dataframe_metadata, an_objective, objective_column) | gdayf.normalizer.normalizer.Normalizer | |
| define_normalizations(self, dataframe_metadata, an_objective, objective_column) | gdayf.normalizer.normalizer.Normalizer | |
| define_special_spark_naive_norm(self, dataframe_metadata) | gdayf.normalizer.normalizer.Normalizer | |
| filter_drop_missing(self, normalizemd) | gdayf.normalizer.normalizer.Normalizer | |
| filter_objective_base(self, normalizemd) | gdayf.normalizer.normalizer.Normalizer | |
| filter_standardize(self, normalizemd, model_id) | gdayf.normalizer.normalizer.Normalizer | |
| fixedMissingValues(self, dataframe, value=0.0) | gdayf.normalizer.normalizer.Normalizer | |
| ignored_columns(self, normalizemd) | gdayf.normalizer.normalizer.Normalizer | |
| meanMissingValues(self, dataframe, col, objective_col, full=False) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeAgregation(self, dataframe, br=0.25) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeBase(self, dataframe) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeBinaryEncoding(self, dataframe) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeDataFrame(self, df, normalizemd) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeDateTime(self, dataframe, date_column=None) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeDiscretize(self, dataframe, buckets_number, fixed_size) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeDropMissing(self, dataframe, col) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeOffset(self, dataframe, offset=0) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeStdMean(self, dataframe, mean, std) | gdayf.normalizer.normalizer.Normalizer | |
| normalizeWorkingRange(self, dataframe, minval=-1.0, maxval=1.0, minrange=-1.0, maxrange=1.0) | gdayf.normalizer.normalizer.Normalizer | |
| progressiveMissingValues(self, dataframe, col, objective_col) | gdayf.normalizer.normalizer.Normalizer | |