gobert | Go Bindings for BERT NLP Models | Natural Language Processing library
kandi X-RAY | gobert Summary
kandi X-RAY | gobert Summary
Go bindings for operationalizing BERT models. Train in Python, run in Go. Simply put, gobert translates text sentences from any language into fixed length vectors called "embeddings". These embeddings can be used for downstream learning tasks or directly for comparison. The following demo shows a simple semantic search engine directly comparing sentence vectors.
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Top functions reviewed by kandi - BETA
- readCSV reads a CSV file .
- sequenceFeature creates a feature from a given text .
- tensors converts a set of tokens to a map .
- NewBert creates a new Bert object .
- Example for BertClassifier
- truncate truncates seqs to maxlen
- Parse the command line arguments .
- Tokenize returns a slice of strings that can be used to represent whitespace .
- Print prints a saved model
- splitPunc splits a string into a slice of strings .
gobert Key Features
gobert Examples and Code Snippets
Community Discussions
Trending Discussions on gobert
QUESTION
I have a pandas dataframe of stats from 4 NBA seasons where seasons starts from 2017-18 and has been converted into dummy variables as seen below.
...ANSWER
Answered 2021-Dec-16 at 04:08Your pct_cap
function is weird. The problem is, for every row, it's returning a series instead of a number. It should return the salary of a player, not salaries of everyone.
Try it like this:
QUESTION
I am trying to scrape the NBA player names and projected fantasy score (not single stat DFS) using selenium. I've gotten as far as using selenium to automate clicking NBA, and selecting the fantasy score tab.
From there, I see the players in a grid where I will like to scrape the points and names for each player. I have attempted to loop through the grid but I don't think I'm doing it right
Can someone please take a look at my code and point me in the right direction ?
...ANSWER
Answered 2021-Jun-12 at 18:58See you are using
QUESTION
I'm trying to scrape some data off ESPN and run some calculations off the scraped data. Ideally, I will like to iterate through a dataframe, grab the players name with Selenium, send the player's name into the search box and tell Selenium to click the player's name. I was able to do this successfully with one player. I'm not quite sure how to iterate through all the players in my data frame.
The second part of the code is where I'm struggling. For some reason I am not able to get the data. Selenium isn't able to find any of the elements. I don't think I'm doing it properly. If I am able to scrape the required data, I will like to plug them into a calculation and append the calculated projected points into my dataframe, dfNBA.
Can someone please help me with my code? and point me in the right direction. I'm trying to be more efficient writing python codes but right now I'm stuck
Thanks
...ANSWER
Answered 2021-Jun-13 at 15:52Here's some code to accomplish (I think) what you want. You need to wait for the table elements to appear, fix your xpath, and choose the right elements from the table array.
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