João Capela Ribeiro

saving and loading models pose problems when there are dots in the absolute path of the model

Add splitter to hyperparameter optimization with cross-validation

"robust_multitask_classifier_model" works well except when loading the model back in (probably related with the custom_objects) (SAME WITH robust_multitask_regressor_model)

"sc_score_model" not working (Input 0 of layer "dense" is incompatible with the layer: expected axis -1 of input shape to have value 2048, but received input with shape (100, 1))

"progressive_multitask_classifier_model" not working (ValueError: Index out of range using input dim 1; input has only 1 dims for '{{node strided_slice_1}} ...) (SAME WITH progressive_multitask_classifier_model) in [src/deepmol/pipeline_optimization/_utils.py](https://github.com/BioSystemsUM/DeepMol/pull/86/files/9d4e48237192ac59fdffb1a745bea1f942247bea#diff-351e8e34b992507ca33b45dfef244c025c428a24c3a031239946fa2102a5e6bb)

"megnet_model" is not working (error with torch_geometric (extra_requirement))

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"megnet_model" is not working (error with torch_geometric (extra_requirement))

"multitask_irv_classifier_model" not working (needs 1D featurizer + irv transformer but it is not working) in [src/deepmol/pipeline_optimization/_utils.py](https://github.com/BioSystemsUM/DeepMol/pull/86/files/9d4e48237192ac59fdffb1a745bea1f942247bea#diff-351e8e34b992507ca33b45dfef244c025c428a24c3a031239946fa2102a5e6bb)

TODO: "mpnn_model" is not working (DeepChem-> AttributeError: 'GraphData' object has no attribute 'get_num_atoms')

"cnn_model" is not working (raise PicklingError( pickle.PicklingError: Can't pickle : it's not found as _thread.lock)) in [src/deepmol/pipeline_optimization/_utils.py](https://github.com/BioSystemsUM/DeepMol/pull/86/files/9d4e48237192ac59fdffb1a745bea1f942247bea#diff-351e8e34b992507ca33b45dfef244c025c428a24c3a031239946fa2102a5e6bb)

For some reason when jupyter notebook tries to print an object of the **KerasModel** class the following error is raised: