Merge pull request #2177 from nd-02110114/deplicate-warn

from deepchem.splits.splitters import RandomGroupSplitter

from deepchem.splits.splitters import SingletaskStratifiedSplitter

from deepchem.splits.splitters import IndexSplitter

from deepchem.splits.splitters import IndiceSplitter

from deepchem.splits.splitters import SpecifiedSplitter

# molecule splitter

from deepchem.splits.splitters import ScaffoldSplitter

# other splitter

from deepchem.splits.task_splitter import merge_fold_datasets

from deepchem.splits.task_splitter import TaskSplitter

#################################################################

# Removed API

#################################################################

import logging

logger = logging.getLogger(__name__)

class IndiceSplitter:

  def __init__(self, valid_indices=None, test_indices=None):

    raise ImportError("IndiceSplitter was renamed to SpecifiedSplitter.\n"

                      "Please use SpecifiedSplitter instead of IndiceSplitter.")

            indices[valid_cutoff:])

class IndiceSplitter(Splitter):

class SpecifiedSplitter(Splitter):

  """Split data in the fashion specified by user.

  For some applications, you will already know how you'd like to split the

  dataset. In this splitter, you simplify specify `valid_indices` and

  `test_indices` and the datapoints at those indices are pulled out of the

  dataset. Note that this is different from `IndexSplitter` which only splits

  based on the existing dataset ordering, while this `IndiceSplitter` can

  based on the existing dataset ordering, while this `SpecifiedSplitter` can

  split on any specified ordering.

  """

      # that have no hits.

      assert len(np.where(w.any(axis=1) == 0)[0]) == 0

  def test_indice_split(self):

  def test_specified_split(self):

    solubility_dataset = load_solubility_data()

    random_splitter = dc.splits.IndiceSplitter(

    random_splitter = dc.splits.SpecifiedSplitter(

        valid_indices=[7], test_indices=[8])

    train_data, valid_data, test_data = \

      random_splitter.split(

.. autoclass:: deepchem.splits.IndexSplitter

  :members:

IndiceSplitter

SpecifiedSplitter

--------------

.. autoclass:: deepchem.splits.IndiceSplitter

.. autoclass:: deepchem.splits.SpecifiedSplitter

  :members: