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add example with basic clf pipeline. minor refactoring
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examples/time_series_classification/ts_classification_basic.py
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import numpy as np | ||
from fedot.core.pipelines.pipeline_builder import PipelineBuilder | ||
from examples.fedot.fedot_ex import init_input_data | ||
from fedot_ind.core.architecture.preprocessing.DatasetLoader import DataLoader | ||
from fedot_ind.core.repository.initializer_industrial_models import IndustrialModels | ||
from sklearn.metrics import f1_score, roc_auc_score | ||
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model_dict = {'basic_quantile': PipelineBuilder().add_node('quantile_extractor', | ||
params={'window_size': 10, | ||
'window_mode': True}).add_node('rf'), | ||
'basic_topological': PipelineBuilder().add_node('topological_extractor', | ||
params={'window_size': 10}).add_node('rf'), | ||
'basic_recurrence': PipelineBuilder ().add_node('recurrence_extractor').add_node('rf'), | ||
'advanced_quantile': PipelineBuilder().add_node('fourier_basis').add_node('quantile_extractor', | ||
params={'window_size': 10, | ||
'window_mode': True}).add_node( | ||
'rf'), | ||
'advanced_topological': PipelineBuilder().add_node('eigen_basis').add_node('topological_extractor', | ||
params={ | ||
'window_size': 10}).add_node( | ||
'rf'), | ||
'advanced_reccurence': PipelineBuilder().add_node('wavelet_basis').add_node( | ||
'recurrence_extractor').add_node( | ||
'rf') | ||
} | ||
metric_dict = {} | ||
train_data, test_data = DataLoader(dataset_name='Ham').load_data() | ||
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with IndustrialModels(): | ||
for model in model_dict.keys(): | ||
pipeline = model_dict[model].build() | ||
input_data = init_input_data(train_data[0], train_data[1]) | ||
val_data = init_input_data(test_data[0], test_data[1]) | ||
pipeline.fit(input_data) | ||
features = pipeline.predict(val_data).predict | ||
if len(np.unique(test_data[1])) > 2: | ||
metric = f1_score(test_data[1], features, average='weighted') | ||
else: | ||
metric = roc_auc_score(test_data[1], features, average='weighted') | ||
metric_dict.update({model: metric}) | ||
print(metric_dict) |
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