From 332b4b14d9096c50beb665b1d3bf275643b03ad9 Mon Sep 17 00:00:00 2001 From: s152483 Date: Mon, 27 Apr 2020 13:49:27 +0000 Subject: [PATCH 1/8] =?UTF-8?q?Prze=C5=9Blij=20pliki=20do=20'dev-0'?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- dev-0/out.tsv | 10545 ++++++++++++++++++++++++------------------------ 1 file changed, 5272 insertions(+), 5273 deletions(-) diff --git a/dev-0/out.tsv b/dev-0/out.tsv index efe6469..d8f7421 100644 --- a/dev-0/out.tsv +++ b/dev-0/out.tsv @@ -1,5273 +1,5272 @@ -0.8581980700603664 -0.1665571546237113 -0.028196012309089073 -0.9347710342353185 -0.9999999986036983 -0.7195302487540595 -1.0 -0.6122750879955062 -0.2874854597112884 -0.19814460702877706 -0.9999999999996589 -0.6011409348560531 -0.99901497815279 -0.00012791193785530937 -0.9999991090713526 -0.1646373316236363 -0.9999439857982435 -0.5373308209250995 -0.6252939214425252 -0.00014686215892107773 -0.6441849245422677 -0.6794075344969228 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-#!/usr/bin/python3 - -import pandas as pd -import csv -import pickle - -def predict(): - dev0 = pd.read_csv("dev-0/in.tsv", delimiter="\t", header=None, names=["document","date"], quoting=csv.QUOTE_NONE) - testA = pd.read_csv("test-A/in.tsv", delimiter="\t", header=None, names=["document","date"], quoting=csv.QUOTE_NONE) - devdoc = dev["document"] - testdoc = testA["document"] - - clf = pickle.load(open("clf.model", "rb")) - vectorizer = pickle.load(open("vectorizer.model", "rb")) - - dev0_vectorizer = vectorizer.transform(devdoc) - testA_vectorizer = vectorizer.transform(testdoc) - - y_dev = clf.predict_proba(dev0_vectorizer) - y_test = clf.predict_proba(testA_vectorizer) - - with open("dev-0/out.tsv", "w") as devout: - for line in y_dev: - devout.write(str(line[1])+"\n") - - with open("test-A/out.tsv", "w") as testaout: - for line in y_test: - testaout.write(str(line[1])+"\n") - -predict() +#!/usr/bin/python3 + +import pandas as pd +import csv +import pickle +import numpy as np + +def predict(): + dev0 = pd.read_csv("dev-0/in.tsv", delimiter="\t", header=None, names=["document","date"], quoting=csv.QUOTE_NONE)["document"] + testA = pd.read_csv("test-A/in.tsv", delimiter="\t", header=None, names=["document","date"], quoting=csv.QUOTE_NONE)["document"] + + clf = pickle.load(open("clf.model", "rb")) + vectorizer = pickle.load(open("vectorizer.model", "rb")) + + dev0_vectorizer = vectorizer.transform(dev0) + testA_vectorizer = vectorizer.transform(testA) + + y_dev = clf.predict_proba(dev0_vectorizer)[:, 1] + y_test = clf.predict_proba(testA_vectorizer)[:, 1] + + np.savetxt('test-A/out.tsv', y_dev, '%f') + np.savetxt('dev-0/out.tsv', y_test, '%f') + +predict() From 9938afc73695ab8dff2ae220f1bce0fb2c1814a9 Mon Sep 17 00:00:00 2001 From: s152483 Date: Mon, 27 Apr 2020 14:18:38 +0000 Subject: [PATCH 6/8] prob output --- predict_rm.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/predict_rm.py b/predict_rm.py index 95762ba..6bface1 100644 --- a/predict_rm.py +++ b/predict_rm.py @@ -18,7 +18,7 @@ def predict(): y_dev = clf.predict_proba(dev0_vectorizer)[:, 1] y_test = clf.predict_proba(testA_vectorizer)[:, 1] - np.savetxt('test-A/out.tsv', y_dev, '%f') - np.savetxt('dev-0/out.tsv', y_test, '%f') + np.savetxt('test-A/out.tsv', y_test, '%f') + np.savetxt('dev-0/out.tsv', y_dev, '%f') predict() From b9411aa8912cd2f281264c8e951e750cb64ae257 Mon Sep 17 00:00:00 2001 From: s152483 Date: Mon, 27 Apr 2020 14:20:03 +0000 Subject: [PATCH 7/8] dev-0 out --- dev-0/out.tsv | 10188 ++++++++++++++++++++++++------------------------ 1 file changed, 5154 insertions(+), 5034 deletions(-) diff --git a/dev-0/out.tsv b/dev-0/out.tsv index 0dc2ff0..6253365 100644 --- a/dev-0/out.tsv +++ b/dev-0/out.tsv @@ -1,5152 +1,5272 @@ -0.651363 -0.142776 -0.997645 -0.347984 -0.818897 -0.594240 -0.000487 -0.934243 -0.347825 -0.999925 +0.858198 +0.166557 +0.028196 +0.934771 +1.000000 +0.719530 +1.000000 +0.612275 +0.287485 +0.198145 +1.000000 +0.601141 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