Merge pull request #737 from lilleswing/conda-install-again

### Easy Install via Conda

```bash

conda install -c omnia deepchem

conda install -c deepchem -c rdkit -c conda-forge -c omnia deepchem=1.2.0

```

### Installing Dependencies Manually

import numpy as np

import os

from nose.tools import assert_true

from nose.tools import assert_true, nottest

from flaky import flaky

import tensorflow as tf

    prediction2 = np.squeeze(tg1.predict_proba_on_batch(X))

    assert_true(np.all(np.isclose(prediction, prediction2, atol=0.01)))

  @nottest

  def test_tensorboard(self):

    n_data_points = 20

    n_features = 2

  - sudo docker tag \<IMAGE ID\> deepchemio/deepchem:<version>

  - sudo docker push deepchemio/deepchem:<version>

- Update conda installs

  - edit version in devtools/conda-recipes/deepchem/meta.yml

  - update requirements to be inline with scripts/install_deepchem_conda.sh

  - set deepchem anaconda org token

  - bash devtools/jenkins/conda_build.sh

- Post on Gitter

This is a recipe for building the current development package into a conda

binary.

The installation on travis-ci is done by building the conda package,

installing it, running the tests, and then if successful pushing the

docs to AWS S3.

#!/bin/bash

pip install .