Added factors/uv/kinase to loading functions

  datasets: list of string

      choice of which datasets to use, should be: bace_c, bace_r, bbbp, chembl,

      clearance, clintox, delaney, hiv, hopv, kaggle, lipo, muv, nci, pcba,

      pdbbind, ppb, qm7, qm7b, qm8, qm9, sampl, sider, tox21, toxcast

      pdbbind, ppb, qm7, qm7b, qm8, qm9, sampl, sider, tox21, toxcast, uv, factors,

      kinase

  model: string or user-defined model stucture

      choice of which model to use, deepchem provides implementation of

      logistic regression, random forest, multitask network,

  ----------

  dataset: string

      choice of which datasets to use, should be: tox21, muv, sider,

      toxcast, pcba, delaney, kaggle, nci, clintox, hiv, pcba_128, pcba_146, pdbbind, chembl,

      qm7, qm7b, qm9, sampl

      toxcast, pcba, delaney, factors, hiv, hopv, kaggle, kinase, nci,

      clintox, hiv, pcba_128, pcba_146, pdbbind, chembl, qm7, qm7b, qm9,

      sampl, uv

  featurizer: string or dc.feat.Featurizer.

      choice of featurization.

  split: string,  optional (default=None)

      'clearance': deepchem.molnet.load_clearance,

      'clintox': deepchem.molnet.load_clintox,

      'delaney': deepchem.molnet.load_delaney,

      'factors': deepchem.molnet.load_factors,

      'hiv': deepchem.molnet.load_hiv,

      'hopv': deepchem.molnet.load_hopv,

      'kaggle': deepchem.molnet.load_kaggle,

      'kinase': deepchem.molnet.load_kinase,

      'lipo': deepchem.molnet.load_lipo,

      'muv': deepchem.molnet.load_muv,

      'nci': deepchem.molnet.load_nci,

      'sampl': deepchem.molnet.load_sampl,

      'sider': deepchem.molnet.load_sider,

      'tox21': deepchem.molnet.load_tox21,

      'toxcast': deepchem.molnet.load_toxcast

      'toxcast': deepchem.molnet.load_toxcast,

      'uv': deepchem.molnet.load_uv

  }

  print('-------------------------------------')

  print('Loading dataset: %s' % dataset)