import tensorflow as tf

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import tensorflow as tf
import tensorflow.contrib.metrics as metrics
import tensorflow.contrib.rnn as rnn

tf.logging.set_verbosity(tf.logging.INFO)

SEQ_LEN = 10
DEFAULTS = [[0.0] for x in range(0, SEQ_LEN)]
BATCH_SIZE = 20
TIMESERIES_INPUT_LAYER = 'rawdata'
TIMESERIES_COL = '{}_input'.format(TIMESERIES_INPUT_LAYER)
# In each sequence, column index 0 to N_INPUTS - 1 are features, and column index N_INPUTS to SEQ_LEN are labels
