From b8b98f9f85d5d41c06d954df0c022be647d306bc Mon Sep 17 00:00:00 2001 From: Karolina Oparczyk Date: Thu, 20 May 2021 19:15:23 +0200 Subject: [PATCH] trigger other projects --- neural_network.py | 17 +- predictions.txt | 844 +++++++++++++++++++++++----------------------- 2 files changed, 436 insertions(+), 425 deletions(-) diff --git a/neural_network.py b/neural_network.py index 4c13426..6013d46 100644 --- a/neural_network.py +++ b/neural_network.py @@ -16,10 +16,21 @@ data = pd.read_csv("data_train", sep=',', skip_blank_lines=True, nrows=1087, er "tags", "description", "trend_day_count", "trend_publish_diff", "trend_tag_highest", "trend_tag_total", "tags_count", "subscriber"]).dropna() +X = [] +for datum in data[["views"]].values: + try: + X.append(int(datum)) + except: + print(datum) +X = pd.DataFrame(X) -X = data.loc[:,data.columns == "views"].astype(int) -y = data.loc[:,data.columns == "likes"].astype(int) - +y = [] +for datum in data[["likes"]].values: + try: + y.append(int(datum)) + except: + print(datum) +y = pd.DataFrame(y) min_val_sub = np.min(X) max_val_sub = np.max(X) diff --git a/predictions.txt b/predictions.txt index ecba885..dc300de 100644 --- a/predictions.txt +++ b/predictions.txt @@ -1,422 +1,422 @@ -predicted: 729.1492164134979 expected: 617 -predicted: 72.97393575310707 expected: 172 -predicted: 2664.9670791625977 expected: 611 -predicted: 217.98988354206085 expected: 269 -predicted: 2664.9670791625977 expected: 1095 -predicted: 217.98988354206085 expected: 68 -predicted: 1.9116307813674212 expected: 5 -predicted: 729.1492164134979 expected: 986 -predicted: 353.094504237175 expected: 262 -predicted: 654.9009945392609 expected: 817 -predicted: 400.78570449352264 expected: 197 -predicted: 310.2832547426224 expected: 264 -predicted: 575.4136011600494 expected: 830 -predicted: 2664.9670791625977 expected: 1415 -predicted: 570.1147339344025 expected: 134 -predicted: 54.90794524550438 expected: 58 -predicted: 104.59705239534378 expected: 93 -predicted: 856.8355226516724 expected: 830 -predicted: 2664.9670791625977 expected: 1207 -predicted: 586.0111362934113 expected: 269 -predicted: 824.7903814315796 expected: 558 -predicted: 2398.8290061950684 expected: 1558 -predicted: 78.26259416341782 expected: 37 -predicted: 862.1829237937927 expected: 364 -predicted: 894.3658933639526 expected: 1020 -predicted: 0.034333037212491035 expected: 11 -predicted: 644.2975795269012 expected: 225 -predicted: 862.1829237937927 expected: 228 -predicted: 2398.8290061950684 expected: 1184 -predicted: 617.8036420345306 expected: 370 -predicted: 88.93743351101875 expected: 68 -predicted: 299.61167299747467 expected: 201 -predicted: 2664.9670791625977 expected: 1113 -predicted: 617.8036420345306 expected: 496 -predicted: 88.93743351101875 expected: 43 -predicted: 109.65454560518265 expected: 59 -predicted: 88.93743351101875 expected: 60 -predicted: 114.58580827713013 expected: 78 -predicted: 437.8198482990265 expected: 263 -predicted: 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