add topo to extra

.github/workflows/unit-build.yml

@@ -30,6 +30,7 @@ jobs:
         python -m pip install --upgrade pip
         pip install pytest
         pip install .
+        pip install .[extra]
         pip install pytest-cov
     - name: Test with pytest
       run: |

docs/source/introduction/fedot_features/automation_features.rst

@@ -70,7 +70,6 @@ FEDOT supports bunch of dimensionality preprocessing operations that can be be a
    `label_encoding`,Label Encoder, Feature encoding
    `resample`,Imbalanced binary class transformation in classification, Data transformation
    `topological_features`,Calculation of topological features,Time series transformation
-   `fast_topological_features`,Fast calculation of part of topological features,Time series transformation
 
 
 .. csv-table:: Feature transformation operations implementations

fedot/core/operations/evaluation/common_preprocessing.py

@@ -8,11 +8,9 @@
 from fedot.core.operations.evaluation.operation_implementations.data_operations.sklearn_transformations import \
     ImputationImplementation, KernelPCAImplementation, NormalizationImplementation, PCAImplementation, \
     PolyFeaturesImplementation, ScalingImplementation, FastICAImplementation
-from fedot.core.operations.evaluation.operation_implementations.\
+from fedot.core.operations.evaluation.operation_implementations. \
     data_operations.topological.fast_topological_extractor import \
-    FastTopologicalFeaturesImplementation
-from fedot.core.operations.evaluation.operation_implementations.data_operations.topological. \
-    topological_extractor import TopologicalFeaturesImplementation
+    TopologicalFeaturesImplementation
 from fedot.core.operations.operation_parameters import OperationParameters
 from fedot.utilities.random import ImplementationRandomStateHandler
 
@@ -50,8 +48,7 @@ class FedotPreprocessingStrategy(EvaluationStrategy):
         'one_hot_encoding': OneHotEncodingImplementation,
         'label_encoding': LabelEncodingImplementation,
         'fast_ica': FastICAImplementation,
-        'topological_features': TopologicalFeaturesImplementation,
-        'fast_topological_features': FastTopologicalFeaturesImplementation,
+        'topological_features': TopologicalFeaturesImplementation
     }
 
     def __init__(self, operation_type: str, params: Optional[OperationParameters] = None):

fedot/core/operations/evaluation/operation_implementations/data_operations/topological/fast_topological_extractor.py

@@ -1,8 +1,16 @@
+import logging
 from itertools import chain
 from typing import Optional
 
 import numpy as np
-from gph import ripser_parallel as ripser
+
+try:
+    from gph import ripser_parallel as ripser
+except ModuleNotFoundError:
+    logging.log(100,
+                "Topological features operation requires extra dependencies for time series forecasting, which are not"
+                " installed. It can infuence the performance. Please install it by 'pip install fedot[extra]'")
+
 from joblib import Parallel, delayed
 
 from fedot.core.data.data import InputData, OutputData
@@ -11,7 +19,7 @@
 from fedot.core.operations.operation_parameters import OperationParameters
 
 
-class FastTopologicalFeaturesImplementation(DataOperationImplementation):
+class TopologicalFeaturesImplementation(DataOperationImplementation):
     def __init__(self, params: Optional[OperationParameters] = None):
         super().__init__(params)
         self.window_size_as_share = params.get('window_size_as_share')