diff --git a/cw/085_word2vec_oraz_biblioteki_NLP.ipynb b/cw/085_word2vec_oraz_biblioteki_NLP.ipynb index 8663477..4201acf 100644 --- a/cw/085_word2vec_oraz_biblioteki_NLP.ipynb +++ b/cw/085_word2vec_oraz_biblioteki_NLP.ipynb @@ -24,9 +24,9 @@ "output_type": "stream", "text": [ "Requirement already satisfied: gensim in /home/kuba/anaconda3/envs/zajeciaei/lib/python3.10/site-packages (4.2.0)\n", - "Requirement already satisfied: numpy>=1.17.0 in /home/kuba/anaconda3/envs/zajeciaei/lib/python3.10/site-packages (from gensim) (1.22.3)\n", + "Requirement already satisfied: smart-open>=1.8.1 in /home/kuba/anaconda3/envs/zajeciaei/lib/python3.10/site-packages (from gensim) (6.0.0)\n", "Requirement already satisfied: scipy>=0.18.1 in /home/kuba/anaconda3/envs/zajeciaei/lib/python3.10/site-packages (from gensim) (1.8.0)\n", - "Requirement already satisfied: smart-open>=1.8.1 in /home/kuba/anaconda3/envs/zajeciaei/lib/python3.10/site-packages (from gensim) (6.0.0)\n" + "Requirement already satisfied: numpy>=1.17.0 in /home/kuba/anaconda3/envs/zajeciaei/lib/python3.10/site-packages (from gensim) (1.22.3)\n" ] } ], @@ -52,7 +52,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_62420/1831104553.py:2: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", + "/tmp/ipykernel_5965/1831104553.py:2: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", " from IPython.core.display import display, HTML\n" ] } @@ -652,7 +652,7 @@ "Read 3M words\n", "Number of words: 275356\n", "Number of labels: 20\n", - "Progress: 100.0% words/sec/thread: 1103389 lr: 0.000000 avg.loss: 0.817102 ETA: 0h 0m 0s\n" + "Progress: 100.0% words/sec/thread: 1010736 lr: 0.000000 avg.loss: 0.817885 ETA: 0h 0m 0s\n" ] } ], @@ -687,7 +687,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.7199946893255443\r\n" + "0.719198088157196\r\n" ] } ], @@ -695,6 +695,16 @@ "!geval --metric Accuracy -o ss_20_newsgroup_test_pred_label_only -e 20_newsgroup_test_targets" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Zadanie\n", + "\n", + "\n", + "Ireland news na gonito. Proszę użyć gotowej biblioteki, innej niż w sklearn (np starspace, fasttext, vw). Reguły jak zawsze. Wynik powyżej 55 accuracy. " + ] + }, { "cell_type": "code", "execution_count": null,