Commit a4e4c07b authored by Bharath Ramsundar's avatar Bharath Ramsundar
Browse files

Removed comments

parent fd83f5e8
Loading
Loading
Loading
Loading
+1 −2
Original line number Diff line number Diff line
@@ -11,7 +11,7 @@ from deepchem.utils.save import log
from deepchem.metrics import to_one_hot
from deepchem.metrics import from_one_hot
from deepchem.nn import model_ops
'''

class ProgressiveJointRegressor(TensorflowMultiTaskRegressor):
  """Implements a progressive multitask neural network.
  
@@ -426,4 +426,3 @@ class ProgressiveJointRegressor(TensorflowMultiTaskRegressor):
        config = tf.ConfigProto(allow_soft_placement=True)
        self.eval_graph.session = tf.Session(config=config)
      return self.eval_graph.session
'''
+1 −2
Original line number Diff line number Diff line
'''
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
@@ -12,6 +11,7 @@ from deepchem.utils.save import log
from deepchem.metrics import to_one_hot
from deepchem.metrics import from_one_hot
from deepchem.nn import model_ops

class ProgressiveMultitaskRegressor(TensorflowMultiTaskRegressor):
  """Implements a progressive multitask neural network.
  
@@ -611,4 +611,3 @@ class ProgressiveMultitaskRegressor(TensorflowMultiTaskRegressor):
    time2 = time.time()
    print("TIMING: model fitting took %0.3f s" % (time2 - time1), self.verbose)
    ############################################################## TIMING
'''
+1 −2
Original line number Diff line number Diff line
'''
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
@@ -8,6 +7,7 @@ import numpy as np
import tensorflow as tf

from deepchem.nn import model_ops

class RobustMultitaskClassifier(MultiTaskClassifier):
  """Implements a neural network for robust multitasking.
  
@@ -365,4 +365,3 @@ class RobustMultitaskRegressor(TensorflowMultiTaskRegressor):
                        value=bias_init_consts[-1], shape=[1])),
                axis=1))
      return (output, labels, weights)
'''