vocabs | lightweight online dictionary integration to the command | Dictionary library
kandi X-RAY | vocabs Summary
kandi X-RAY | vocabs Summary
A lightweight online dictionary integration to the command line. No browsers. No paperbacks.
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Top functions reviewed by kandi - BETA
- Launch the browser
- Runs Dictionary mode
- Parse a query
- Returns whether the internet is on
- Launch the bullet
- Clear current line
- Print a bullet
- Move the cursor up
- Get trending words
- Return a list of trending words
- Safely guard the dictionary
- Resets the dictionary
- Load a wordlist file
- Clear the console console
- Moves the cursor left
- Prints a string to the console
- Moves the cursor to the right
vocabs Key Features
vocabs Examples and Code Snippets
def _load_and_remap_matrix(ckpt_path,
old_tensor_name,
new_row_vocab_offset,
num_rows_to_load,
new_col_vocab_size,
Community Discussions
Trending Discussions on vocabs
QUESTION
I'm sorry to ask the repeatedly answered question but I just couldn't solve this relating to my specific case, maybe I'm missing something. The error is E/RecyclerView: No adapter attached; skipping layout
and I'm not sure, is the problem with an adapter I set or the RecyclerView per se? Also, I was following a tutorial and this was the code that was presented.
(I tried brining the initRecyclerView()
into the main onCreateView
but no luck. Some answers say to set an empty adapter first and notify it with the changes later but I don't know how to do that.)
This is my HomeFragment:
ANSWER
Answered 2021-Apr-14 at 10:37Ok, it's normal you have this message because in your code, you' ll do this :
QUESTION
I'm brand new to Kotlin and I'm following a tutorial. Running my app causes it to crash on runtime. I have three fragments, and one main activity, in a bottom navigation bar app. My goal is really just to run the app successfully so I can try out Room databases, data binding and such concepts. I searched for possible reasons why it doesn't work with me but no luck. This is the current full error message:
...ANSWER
Answered 2021-Feb-27 at 14:33Caused by: java.lang.NoSuchMethodException: []
QUESTION
I am new to Machine Translation and Trax. My goal is to understand the introductory example on transformers in Trax, which can be found at https://trax-ml.readthedocs.io/en/latest/notebooks/trax_intro.html:
...ANSWER
Answered 2020-Aug-20 at 11:05I found it out myself... one needs to reset the model's state
. So the following code works for me:
QUESTION
I am training an AI to write a book using TensorFlow 1.14 and python 2.6.7. Whenever I run my training python code, I get the error message UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 36188: character maps to
I have reinstalled TensorFlow and python as well as searched the forums to try and find an answer. The traceback leads me to a file called cp1252.py in the encodings folder
The code I'm running is
...ANSWER
Answered 2020-Aug-20 at 15:54So it turns out there was a weird character in the text file. All I had to do was replace all the weird symbols with the correct symbol. Thanks for all he help!
QUESTION
I am trying to build the TfidfVectorizer from scratch and I have built almost the same vectorizer as sklearn's but I am not able to get the same tf-idf scores as TfidfVectorizer.
Here is my code:
...ANSWER
Answered 2020-Apr-29 at 14:46from sklearn.feature_extraction.text import TfidfVectorizer
from collections import Counter
import numpy as np
import pandas as pd
def tfidf_vectorizer(corpus):
terms = list(set(' '.join([i for i in corpus]).split()))
terms.sort()
mat = np.zeros((len(corpus), len(terms)))
for i in range(len(corpus)):
tf = Counter(corpus[i].split())
for j in range(len(terms)):
df = len([document for document in corpus if terms[j] in document])
idf = 1.0 + np.log((len(corpus) + 1) / (df + 1))
mat[i, j] = tf[terms[j]] * idf
return (terms, mat)
corpus = ['this is the first document',
'this document is the second document',
'this one is the third']
# manual calculation
vectorizer_1 = tfidf_vectorizer(corpus)
terms_1 = vectorizer_1[0]
matrix_1 = vectorizer_1[1]
# scikit-learn calculation
vectorizer_2 = TfidfVectorizer(norm=None).fit(corpus)
terms_2 = vectorizer_2.get_feature_names()
matrix_2 = vectorizer_2.transform(corpus).toarray()
QUESTION
I decided to spend the lockdown refreshing my language skills and therefore wrote a learning app, including a section for learning vocabs. So I copy and pasted a few words, made an array with the language1 vocabs and one with the language2 translations, l1-array strings will be spit out randomly by the program. It's supposed to ask me for the translation, then compare it to the actual one and move the vocabs to different arrays depending on how often I got them right.
So far so easy, but as I have over 400 vocabs, I can't link each l1string to it's l2, so I want the program to do it over the position within the array. I have two arrays:
...ANSWER
Answered 2020-Apr-16 at 14:08You should be able to do the following. Please note, that I'm using Lists in this example. It is easier to remove items from them.
QUESTION
I am trying to write a progrma in Spark for carrying out Latent Dirichlet allocation (LDA). This Spark documentation page provides a nice example for perfroming LDA on the sample data. Below is the program
...ANSWER
Answered 2017-Feb-23 at 17:27After doing some research, I am attempting to answer this question. Below is the sample code to perform LDA on a text document with real text data using Spark.
QUESTION
I'm going dialect text classification and I have this code:
...ANSWER
Answered 2019-May-19 at 08:16You should union vectorizerN
and vectorizerMX
, not MX
and XN
.
Change the line to
QUESTION
The idea is to display a string from a random document within a collection in Firebase. A simple function getRandom()
retrieves the total number of documents and generates a random integer r
that is fed into the Firebase instance.
The output in the app is always null
.
ANSWER
Answered 2019-May-14 at 18:20I've constructed a this piece of sample code for you to give you some options to achieve what you'd like to do:
QUESTION
To publish some ontology files I want to add redirects to w3id.org, which is simply an Apache HTTP Server, that can be configured through .htaccess
files in a public GitHub repository.
Since I am not familiar with the Apache server and HTTP redirects at all, I tried to get w3id
running in a local Docker container. Therefore, I followed the instruction on the httpd
Docker image and created a Dockerfile
containing:
ANSWER
Answered 2019-Mar-27 at 14:57You might need to enable mod_rewrite
and enable overriding with .htaccess
.
See the below Dockerfile for a working reference:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install vocabs
You can use vocabs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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