Kukanani

#!/usr/bin/env python
#
# License: BSD
# Copyright: Adam Allevato 2018
#
# FizzBuzz example program and associated tests.
#

from cStringIO import StringIO
import sys

Kukanani

#!/usr/bin/env python
#
# Copyright (c) Diligent Robotics, 2018
# Copyright (c) Adam Allevato, 2018
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this

Kukanani

import pandas as pd
import numpy as np


####################################
# BASICS
####################################

# load from CSV
# see https://chrisalbon.com/python/data_wrangling/pandas_dataframe_importing_csv/

Kukanani

import numpy as np
from sklearn import mixture

# make a GMM
gmm = mixture.GaussianMixture(n_components=n_components, covariance_type=cv_type)
# fit the GMM however you'd like

# save to file
gmm_name = 'new_gmm'
np.save(gmm_name + '_weights', gmm.weights_, allow_pickle=False)

Kukanani

git diff --no-ext-diff -p -R --no-color | grep -E "^(diff|(old|new) mode)" --color=never | git apply