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#Generating the Data | |
#convert boxplots to mean, sd, alpha | |
def features_creator(boxplots): | |
def boxplot_to_normal(Q1, Q2, Q3): | |
sd = (Q3-Q1)*(3/4) | |
mean = (Q1+(Q3-Q1)/2) #/(Q3-Q1) | |
alpha = ((Q3-Q2)/(Q2-Q1)) #/(Q3-Q1) | |
return mean, sd, alpha |
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import sys | |
sys.path.append('/content/drive/My Drive/Colab Notebooks/TensorFlow 2.0/modules') | |
import pandas as pd | |
import tf_dataset_extractor as e | |
#import grapher_v1_1 as g | |
#import LSTM_creator_v1_0 as l | |
v = e.v | |
g = e.g | |
l = e.l |