def SGNS_process(self): print("Calculating the sim_sgns...") logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') self.sim_sgns = [] vec_sgns = Word2Vec(LineSentence('text7.txt'), size=100, window=2, sg=1, hs=0, min_count=1, workers=multiprocessing.cpu_count()) tbar = tqdm(total=len(self.word_vector)) for word in self.word_vector: try: self.sim_sgns.append(vec_sgns.wv.similarity(word[0], word[1])) except: self.sim_sgns.append(0) tbar.update(1) tbar.close() # print(self.sim_sgns) f = open('sim_sgns', 'wb') pickle.dump(self.sim_sgns, f) f.close()
时间: 2023-12-15 14:04:27 浏览: 28
这段代码是一个Python函数,名为SGNS_process,用于计算文本中词语的相似度,其中用到了Word2Vec模型。
在这个函数中,sg=1是Word2Vec模型中的一个参数,指定了训练算法的类型,这里sg=1表示使用Skip-Gram算法进行训练。Skip-Gram是一种基于神经网络的词向量训练算法,它的基本思想是通过一个中心词预测它周围的上下文词,从而学习到词向量的表示。与之相对的是CBOW算法,它的思想是通过上下文词来预测中心词,Skip-Gram算法相对于CBOW算法更加适用于处理大规模语料库。
所以,sg=1的意思是使用Skip-Gram算法进行训练。
相关问题
self.sim_svd = [] print("Calculating the sim_svd...") tbar = tqdm(total=len(self.word_vector)) for word in self.word_vector: if word[0] in self.vocab and word[1] in self.vocab: idx0 = self.vocab.index(word[0]) idx1 = self.vocab.index(word[1]) vector0 = self.result[idx0] vector1 = self.result[idx1] norm0 = np.linalg.norm(vector0) norm1 = np.linalg.norm(vector1) frac0 = np.dot(vector0, vector1) frac1 = norm0 * norm1 if frac1 != 0: sim = np.around(frac0 / frac1, 1) else: sim = 0 self.sim_svd.append(sim) else: self.sim_svd.append(0) tbar.update(1) tbar.close() # print(self.sim_svd) f = open('sim_svd', 'wb') pickle.dump(self.sim_svd, f) f.close()
这段代码看起来是在计算两个词语在词向量空间中的相似度,并将结果保存到了一个文件中。具体来说,代码首先创建了一个空的列表 self.sim_svd,然后通过遍历词向量列表 self.word_vector,计算每个词语与其他词语的相似度,并将结果添加到 self.sim_svd 中。计算相似度的公式使用的是余弦相似度,即两个向量的点积除以它们的模长之积。如果两个词语都在词汇表 self.vocab 中,就可以通过它们在词汇表中的索引找到它们在词向量矩阵 self.result 中对应的向量,并计算它们的点积和模长,从而得到它们的相似度;如果两个词语中有任何一个不在词汇表中,则将它们的相似度设为 0。最后,代码将计算得到的相似度列表 self.sim_svd 保存到一个名为 'sim_svd' 的二进制文件中,使用 pickle.dump() 函数实现。
Could not determine the upgrade An unresolvable problem occurred while calculating the upgrade.
If you encounter the error message "Could not determine the upgrade" while trying to upgrade Ubuntu from 18.04 to 22.04, there could be a few potential reasons for this issue. Here are some possible solutions:
1. Make sure your current Ubuntu 18.04 installation is up to date. Run the following commands to update your system:
```
sudo apt update
sudo apt upgrade
```
2. Check if you have any third-party repositories or PPAs enabled. Disable or remove them temporarily, as they may cause conflicts during the upgrade process. You can use the "Software & Updates" application or manually edit the `/etc/apt/sources.list` file to disable them.
3. Ensure that you have enough free disk space on your system. The upgrade process requires additional space for downloading and installing packages. You can check the available disk space by running the command:
```
df -h
```
4. Try running the upgrade command with the "--check-dist-upgrade-only" option, which performs a dry-run of the upgrade and checks for any issues without actually initiating the upgrade process. Run the following command:
```
sudo do-release-upgrade --check-dist-upgrade-only
```
5. If none of the above solutions work, you can try manually editing the release-upgrades configuration file. Open the file `/etc/update-manager/release-upgrades` with a text editor, and change the value of "Prompt" from "lts" to "normal". Save the file and then run the upgrade command again:
```
sudo do-release-upgrade
```
If you still encounter issues, please provide any error messages or logs that you receive during the upgrade process for further assistance.