edaf3f4c2303b8c0364266d092335733b66ffbd0,python/examples/hypertools_demo-PPCA.py,,,#,4

Before Change



data1 = np.array(np.random.random((10,10)))
data1[1,0]=np.nan
data2 = np.array(np.random.random((10,10)))
data2[5,5]=np.nan
hyp.plot([data1,data2])

After Change



K = 10 - toeplitz(np.arange(10))

data1 = np.cumsum(np.random.multivariate_normal(np.zeros(10), K, 250), axis=0)
data2 = copy(data1)
sample_inds = np.random.choice(data2.shape[0], data2.shape[0]*.1)
for sample in sample_inds:
    data2[sample,:]=np.nan
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 6

Instances


Project Name: ContextLab/hypertools
Commit Name: edaf3f4c2303b8c0364266d092335733b66ffbd0
Time: 2016-12-19
Author: andrew.heusser@gmail.com
File Name: python/examples/hypertools_demo-PPCA.py
Class Name:
Method Name:


Project Name: ContextLab/hypertools
Commit Name: 878be5344a7cca66858ba82981713099bde5f12f
Time: 2016-12-19
Author: andrew.heusser@gmail.com
File Name: python/examples/hypertools_demo-PPCA.py
Class Name:
Method Name:


Project Name: freelunchtheorem/Conditional_Density_Estimation
Commit Name: da42c137d164ab56a1f1919c8f0ee21e6172f120
Time: 2018-03-20
Author: jonas.rothfuss@gmx.de
File Name: cde/evaluation/GoodnessOfFit.py
Class Name: GoodnessOfFit
Method Name: hellinger_distance_monte_carlo