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Fix for handling very small floating point numbers

This commit is contained in:
JoshuaArking 2019-08-29 09:56:22 -04:00
parent 907c3c0567
commit e90bfd3979
1 changed files with 2 additions and 2 deletions
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4
Pipeline_multi-file/SemanticAnalysis.py
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@ -1,5 +1,5 @@
from pandas import concat, DataFrame, read_csv from pandas import concat, DataFrame, read_csv
from numpy import ndarray, zeros from numpy import ndarray, zeros, clip
from os import path, remove from os import path, remove
from pickle import load, dump from pickle import load, dump
from ast import literal_eval from ast import literal_eval
@ -77,7 +77,7 @@ def signal_clustering(corr_matrix: DataFrame,
corr_matrix.where(corr_matrix > 0, 0, inplace=True) corr_matrix.where(corr_matrix > 0, 0, inplace=True)
corr_matrix = 1 - corr_matrix corr_matrix = 1 - corr_matrix
X = corr_matrix.values # type: ndarray X = corr_matrix.values # type: ndarray
Y = ssd.squareform(X) Y = clip(ssd.squareform(X), 0, None)
# Z is the linkage matrix. This can serve as input to the scipy.cluster.hierarchy.dendrogram method # Z is the linkage matrix. This can serve as input to the scipy.cluster.hierarchy.dendrogram method
Z = linkage(Y, method='single', optimal_ordering=True) Z = linkage(Y, method='single', optimal_ordering=True)
fclus = fcluster(Z, t=threshold, criterion='distance') fclus = fcluster(Z, t=threshold, criterion='distance')