average_metadata_error_corr, average_metadata_lstm, average_char_unigram_sim, average_char_bigram_sim, average_metadata_sim, average_word_unigram_sim ] names = [ "Char unigrams + Metadata (UM)", "Char unigrams + Metadata + Error correlation (UME)", "LSTM + Metadata (LM)", "Char unigrams (U)", "Char unigrams + bigrams (UB)", "Metadata (M)", "Word unigrams (WU)" ] plot_list_latex(ranges, list, names, "Hospital", x_max=600) plot_list(ranges, list, names, "Hospital", x_max=600, end_of_round=238) plot_integral(ranges, list, names, "Hospital", x_max=800, x_min=238) #plot_integral_latex(ranges, list, names, "Hospital", x_max=800, sorted=False) #plot_outperform(ranges, list, names, "Hospital", 1.0, x_max=800)
labels_all,
labels_all,
]
list = [average_metadata_char_unigrams_sim,
average_char_unigram_sim,
average_char_bigram_sim,
average_metadata_sim,
average_word_unigram_sim
]
names = [
"Metadata + char unigrams",
"Char unigrams",
"Char bigrams",
"Metadata",
"Word unigrams"
]
'''
ranges = [labels_all, labels_all]
list = [average_metadata_char_unigrams_sim, average_metadata_error_corr]
names = [
"Metadata + char unigrams", "Metadata + char unigrams + error correlation"
]
plot_list_latex(ranges, list, names, "Address", x_max=200)
plot_list(ranges, list, names, "Address", x_max=200, end_of_round=98)
plot_integral(ranges, list, names, "Address", x_max=150, x_min=98)
#plot_end(ranges, list, names, "Address", x_max=150, x_min=98)
#plot_integral_latex(ranges, list, names, "Address", x_max=350)
#plot_outperform_latex(ranges, list, names, "Address",0.904, x_max=350)
labels_all,
#labels_all,
#labels_all,
#labels_all,
#labels_all,
labels_all
]
list = [
average_metadata_char_unigrams_sim,
#average_char_unigram_sim,
#average_char_bigram_sim,
#average_metadata_sim,
#average_word_unigram_sim,
average_metadata_error_corr
]
names = [
"Metadata + char unigrams",
#"Char unigrams",
#"Char bigrams",
#"Metadata",
#"Word unigrams",
"Metadata + char unigrams + error correlation"
]
plot_list(ranges, list, names, "Flights", x_max=200, end_of_round=56)
plot_list_latex(ranges, list, names, "Flights", x_max=200)
plot_integral(ranges, list, names, "Flights", x_max=200, x_min=56, sorted=True)
#plot_end(ranges, list, names, "Flights", x_max=200,x_min=56, sorted=True)
#plot_outperform(ranges, list, names, "Flights", 0.7366, x_max=200)
#plot_outperform(ranges, list, names, "Flights", 0.9, x_max=200)
import numpy as np
from ml.plot.newer.column_strategy_sim.plotlatex_lib import plot_list_latex
from ml.plot.newer.column_strategy_sim.plotlatex_lib import plot_list
from ml.plot.newer.column_strategy_sim.plotlatex_lib import plot_integral
from ml.plot.newer.column_strategy_sim.plotlatex_lib import plot_integral_latex
from ml.plot.newer.column_strategy_sim.plotlatex_lib import plot_outperform
from ml.plot.newer.column_strategy_sim.plotlatex_lib import plot_outperform_latex
label_0 = [4, 14, 24, 34, 44]
fscore_metadata_with_extr_number = []
fscore_metadata_with_extr_number.append([
0.5065502183406114, 0.9913043478260869, 0.9970845481049563,
0.9970845481049563, 1.0
])
average_metadata_with_extr_number = list(
np.mean(np.matrix(fscore_metadata_with_extr_number), axis=0).A1)
#compare round robin
ranges = [label_0]
list = [average_metadata_with_extr_number]
names = ["ED"]
plot_list_latex(ranges, list, names, "Products", x_max=200)
plot_list(ranges, list, names, "Products", x_max=150)
] list = [ average_roundrobin_sim, average_metadata_with_extr_number ] names = [ "round robin", "round robin old" ] ''' ''' #vergleich random ranges = [labels_optimum, label_random ] list = [ average_random_sim, average_metadata_no_svd_random ] names = [ "round robin", "round robin old" ] ''' plot_list_latex(ranges, list, names, "Songs", x_max=200) plot_list(ranges, list, names, "Songs") #plot_integral(ranges, list, names, "Address", x_max=150, x_min=98) #plot_end(ranges, list, names, "Address", x_max=150, x_min=98) #plot_integral_latex(ranges, list, names, "Address", x_max=350) #plot_outperform_latex(ranges, list, names, "Address",0.904, x_max=350)
