How to use _build_variation method in Slash

Best Python code snippet using slash

variation_factory.py

Source:variation_factory.py Github

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...82 if not needed_ids:83 yield Variation(self._store, {}, {})84 return85 for value_indices in itertools.product(*(range(len(p.values)) for p in parametrizations)):86 yield self._build_variation(parametrizations, value_indices)87 def _build_variation(self, parametrizations, value_indices):88 value_index_by_id = {}89 for param, param_index in zip(parametrizations, value_indices):90 value_index_by_id[param.info.id] = param_index...

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FeatureImportance.py

Source:FeatureImportance.py Github

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...35 else:36 minimum, maximum = column_data.min(), column_data.max()37 column_variants = numpy.arange(minimum, maximum, (maximum - minimum) / 100)38 return column_variants39 def _build_variation(self, column_name, variants, median_values):40 variations = []41 for variant in variants:42 variation_dict = {**median_values}43 variation_dict[column_name] = variant44 variations.append(variation_dict)45 return variations46 def _build_tensor(self, inputs):47 tensor = {48 key: convert_to_tensor([input[key] for input in inputs])49 for key in inputs[0]50 }51 return tensor52 def _continous_target_impact(self, model_output):53 return float(max(model_output) - min(model_output))54 def _discrete_target_impact(self, model_output):55 df = DataFrame(model_output)56 impact = (df.max() - df.min()).sum()57 return float(impact)58 def _get_field_importance(self, res):59 impact = (60 self._discrete_target_impact(res)61 if self.problem_type == Coltype.DISCRETE62 else self._continous_target_impact(res)63 )64 return impact65 def extract(self, df: DataFrame):66 median_values = self._get_median(df)67 impacts = {}68 dataset_input_features = list(69 filter(70 lambda x: x.columnName != self.target_col, self.dataset.datasetFields71 )72 )73 input_counts = []74 agg_inputs = []75 for field in dataset_input_features:76 field: DatasetFeature = field77 column_variants = self._generate_variants(df[field.columnName], field)78 inputs = self._build_variation(79 field.columnName, column_variants, median_values80 )81 input_counts.append(len(inputs))82 agg_inputs.extend(inputs)83 tensor = self._build_tensor(agg_inputs)84 res = self.model.predict(tensor)85 start = 086 for idx, field in enumerate(dataset_input_features):87 field_res = res[start : start + input_counts[idx]]88 start = start + input_counts[idx]89 impacts[field.columnName] = float(self._get_field_importance(field_res))...

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