efzfish

## Code for data imputation (SECOND VERSION)

import numpy as np
import sys

class SmartImputation():
    def __init__(self, continuos_strategy, discrete_strategy, value=0, find_identical_cols=True, seed=2959):
        self.continuos_strategy = continuos_strategy
        self.discrete_strategy = discrete_strategy
        self.find_identical_cols = find_identical_cols

efzfish

## Code for data imputation (FIRST VERSION)

import numpy as np

class SmartImputation():
    def __init__(self, continuos_strategy, discrete_strategy, value=0, find_identical_cols=True, seed=2959):
        self.continuos_strategy = continuos_strategy
        self.discrete_strategy = discrete_strategy
        self.find_identical_cols = find_identical_cols
        self.value = value

efzfish

#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential