Cleanup (7cd84145) · Commits · 钟慕尧 / deepchem

deepchem/models/multitask.py

+0 −3

Original line number	Diff line number	Diff line
		@@ -67,9 +67,6 @@ class SingletaskToMultitask(Model):
		for ind, task in enumerate(self.tasks):
		task_type = self.task_types[task]
		if task_type == "classification":
		################# DEBUG
		#y_pred[:, ind] = self.models[task].predict_on_batch(X)[:, 0]
		################# DEBUG
		y_pred[:, ind] = self.models[task].predict_on_batch(X)
		elif task_type == "regression":
		y_pred[:, ind] = self.models[task].predict_on_batch(X)

+0 −19

Original line number	Diff line number	Diff line
		@@ -107,18 +107,6 @@ class NormalizationTransformer(Transformer):
		self.y_stds = y_stds

		def transform(self, dataset, parallel=False):
		##################### DEBUG
		#X_means, X_stds, y_means, y_stds = dataset.get_statistics()
		#print("NormalizationTransformer.tranform()")
		#print("y_means, y_stds")
		#print(y_means, y_stds)
		#import traceback
		#traceback.print_stack()
		#self.X_means = X_means
		#self.X_stds = X_stds
		#self.y_means = y_means
		#self.y_stds = y_stds
		##################### DEBUG
		super(NormalizationTransformer, self).transform(
		dataset, parallel=parallel)

		@@ -143,13 +131,6 @@ class NormalizationTransformer(Transformer):
		"""
		Undo transformation on provided data.
		"""
		####################### DEBUG
		#print("NormalizationTransformer.untranform()")
		#print("np.amax(z), np.amin(z)")
		#print(np.amax(z), np.amin(z))
		#print("self.y_stds, self.y_means")
		#print(self.y_stds, self.y_means)
		####################### DEBUG
		if self.transform_X:
		return z * self.X_stds + self.X_means
		elif self.transform_y:

+0 −4

Original line number	Diff line number	Diff line
		@@ -44,10 +44,6 @@ class Evaluator(object):
		"""
		Write computed stats to file.
		"""
		########### DEBUG
		print("stats_out")
		print(stats_out)
		########### DEBUG
		with open(stats_out, "wb") as statsfile:
		statsfile.write(str(scores) + "\n")