Metadata-Version: 2.1
Name: croston
Version: 0.1.2.2
Summary: croston model for intermittent time series
Home-page: https://github.com/newelldatascience/croston
Author: hm6
Author-email: hmohammadi6545@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy

# croston
A package to forecast intermittent time series using croston's method

example:

import numpy as np
import random
from croston import croston
import matplotlib.pyplot as plt


a = np.zeros(50)
val = np.array(random.sample(range(100,200), 10))
idxs = random.sample(range(50), 10)

ts = np.insert(a, idxs, val)


fit_pred = croston.fit_croston(ts, 10)

yhat = np.concatenate([fit_pred['croston_fittedvalues'], fit_pred['croston_forecast']])

plt.plot(ts)
plt.plot(yhat)


