Commit cdee28d1 authored by miaecle's avatar miaecle
Browse files

example codes change

parent 6808c495
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+4 −4
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@@ -23,10 +23,10 @@ metric = [dc.metrics.Metric(dc.metrics.mean_absolute_error, mode="regression"),
# Batch size of models
batch_size = 50
graph_model = dc.nn.SequentialDTNNGraph(max_n_atoms=23, n_distance=100)
graph_model.add(dc.nn.DTNNEmbedding(n_features=20))
graph_model.add(dc.nn.DTNNStep(n_features=20, n_distance=100))
graph_model.add(dc.nn.DTNNStep(n_features=20, n_distance=100))
graph_model.add(dc.nn.DTNNGather())
graph_model.add(dc.nn.DTNNEmbedding(n_embedding=20))
graph_model.add(dc.nn.DTNNStep(n_embedding=20, n_distance=100))
graph_model.add(dc.nn.DTNNStep(n_embedding=20, n_distance=100))
graph_model.add(dc.nn.DTNNGather(n_embedding=20))

model = dc.models.DTNNRegressor(
    graph_model,
+4 −7
Original line number Diff line number Diff line
"""
Script that trains graph-conv models on Tox21 dataset.
"""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
@@ -22,10 +19,10 @@ metric = dc.metrics.Metric(dc.metrics.pearson_r2_score, mode="regression")
# Batch size of models
batch_size = 50
graph_model = dc.nn.SequentialDTNNGraph(max_n_atoms=23, n_distance=100)
graph_model.add(dc.nn.DTNNEmbedding(n_features=20))
graph_model.add(dc.nn.DTNNStep(n_features=20, n_distance=100))
graph_model.add(dc.nn.DTNNStep(n_features=20, n_distance=100))
graph_model.add(dc.nn.DTNNGather(n_tasks=len(tasks)))
graph_model.add(dc.nn.DTNNEmbedding(n_embedding=20))
graph_model.add(dc.nn.DTNNStep(n_embedding=20, n_distance=100))
graph_model.add(dc.nn.DTNNStep(n_embedding=20, n_distance=100))
graph_model.add(dc.nn.DTNNGather(n_tasks=len(tasks), n_embedding=20))

model = dc.models.DTNNRegressor(
    graph_model,