Removing torch model

"""

Script that trains multitask(torch) models on Delaney dataset.

"""

from __future__ import print_function

from __future__ import division

from __future__ import unicode_literals

import sys

sys.path.append('../../contrib/torch')

from torch_multitask_regression import TorchMultitaskRegression

import numpy as np

import deepchem as dc

# Only for debug!

np.random.seed(123)

# Load Delaney dataset

n_features = 1024

delaney_tasks, delaney_datasets, transformers = dc.molnet.load_delaney()

train_dataset, valid_dataset, test_dataset = delaney_datasets

# Fit models

metric = dc.metrics.Metric(dc.metrics.pearson_r2_score, np.mean)

model = TorchMultitaskRegression(

    len(delaney_tasks),

    n_features,

    layer_sizes=[1000],

    dropouts=[.25],

    learning_rate=0.001,

    batch_size=50,

    verbosity="high")

# Fit trained model

model.fit(train_dataset, nb_epoch=10)

print("Evaluating model")

train_scores = model.evaluate(train_dataset, [metric], transformers)

valid_scores = model.evaluate(valid_dataset, [metric], transformers)

print("Train scores")

print(train_scores)

print("Validation scores")

print(valid_scores)