🔥 remove deepchem.utils.log

import numpy as np

import tensorflow as tf

from deepchem.utils.save import log

from deepchem.models import KerasModel, layers

from deepchem.models.losses import SigmoidCrossEntropy

from deepchem.trans import undo_transforms

import deepchem as dc

from deepchem.models import KerasModel

from deepchem.models.layers import SwitchedDropout

from deepchem.utils.save import log

from deepchem.metrics import to_one_hot

from tensorflow.keras.layers import Input, Dense, Reshape, Softmax, Dropout, Activation, Lambda

import logging

from deepchem.data import DiskDataset

from deepchem.utils import ScaffoldGenerator

from deepchem.utils.save import log

from deepchem.data import NumpyDataset

from deepchem.utils.save import load_data

import tempfile

import numpy as np

from deepchem.utils import ScaffoldGenerator

from deepchem.utils.save import log

from deepchem.data import NumpyDataset

from deepchem.utils.save import load_data

from deepchem.splits import Splitter

Utility functions to evaluate models on datasets.

"""

import csv

import logging

import numpy as np

import warnings

import pandas as pd

import sklearn

from deepchem.utils.save import log

from deepchem.trans import undo_transforms

from deepchem.metrics import from_one_hot

__copyright__ = "Copyright 2016, Stanford University"

__license__ = "MIT"

logger = logging.getLogger(__name__)

def relative_difference(x, y):

  """Compute the relative difference between x and y"""

    all_task_scores = {}

    if csv_out is not None:

      log("Saving predictions to %s" % csv_out, self.verbose)

      logger.info("Saving predictions to %s" % csv_out, self.verbose)

      self.output_predictions(y_pred_print, csv_out)

    # Compute multitask metrics

            y, y_pred, w, per_task_metrics=False)

    if stats_out is not None:

      log("Saving stats to %s" % stats_out, self.verbose)

      logger.info("Saving stats to %s" % stats_out, self.verbose)

      self.output_statistics(multitask_scores, stats_out)

    if not per_task_metrics: