ltp | Language Technology Platform | Natural Language Processing library
kandi X-RAY | ltp Summary
kandi X-RAY | ltp Summary
LTP(Language Technology Platform) 提供了一系列中文自然语言处理工具,用户可以使用这些工具对于中文文本进行分词、词性标注、句法分析等等工作。.
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Top functions reviewed by kandi - BETA
- Build a pipeline
- Extract entities from a sequence
- Checks if the start of the start of a chunk
- Check if a chunk end of a chunk
- Performs LTP post encodings
- Decodes a sequence of emissions
- Validate emissions and tags
- Load a model from a pretrained model
- Download file download
- Runs the cws benchmark
- Perform forward computation
- Generate examples from file
- Loads a dataset
- Compose optimizer
- Construct MLP layer
- Update the classification
- Wraps the task_func in a task_func
- Perform LTP post encoder
- Write module to directory
- Instantiates the model
- Print a configuration tree
- Load from pretrained model
- Compute the loss function
- Calculate Eisner coefficient
- Evaluate the configuration
- Create dataset info
ltp Key Features
ltp Examples and Code Snippets
git clone https://github.com/zejunwang1/lightltp
cd lightltp
# coding=utf-8
from lightltp.inference import LTP
# Initialization parameters
# path: str, the path of onnx model.
# device: str, cpu/gpu, default is gpu.
# num_threads: int, intra_op_nu
u.get_live_feed(u.get_instrument_by_symbol('NSE_EQ', 'ACC'), LiveFeedType.Full)
u.get_live_feed(u.get_instrument_by_symbol('BSE_EQ', 'RELIANCE'), LiveFeedType.LTP)
def event_handler_quote_update(message):
print("Quote Update: %s" % str(message))
usage: test_speed.py [-h] --onnx_dir ONNX_DIR --sent_file SENT_FILE
[--batch_size BATCH_SIZE] [--num_threads NUM_THREADS]
[--device {cpu,gpu}]
python test_speed.py --onnx_dir onnx/ --sent_file sents.txt --ba
Community Discussions
Trending Discussions on ltp
QUESTION
for the input such as name AARTIIND
and ltp 1014
I want output as url
corresponding to lower bound of the ltp,
in this case
https: // kite.zerodha.com/chart/ext/tvc/NFO-OPT/AARTIIND21JUN1020CE/13192450
I am trying to write function to do this, I am stuck here, unable to think what should be the searching condition which will return correct url
...ANSWER
Answered 2021-Jun-10 at 07:24To find the closest value, subtract ltp
to strike
and compute the absolute value. The lowest value is the closest.
Try this:
QUESTION
I want to print output like this:
...ANSWER
Answered 2021-Jun-01 at 09:33You can set the width for a variable to print with:
QUESTION
Note:I dont have any coding experience
How to insert cell reference in VBA Code for connecting to web url??
Suppose in "A1" cell I'll get the Url for connection. how to connect with the cell "A1" instead of fixed code in VBA Editor....
Please help me... I've highlighted with blue colour in the image. in that url place I want cell reference for connection.
Once again I'm telling I dont have any coding experience. Can you please tell me how to modify that. If you want to test that I'll provide entire code..
...ANSWER
Answered 2021-May-29 at 12:02If the URL is in A1
of the active sheet you could use this.
QUESTION
filename = r'C:\Users\91956\Desktop\File.csv'
df = pd.read_csv(filename)
ss = WebSocket(FEED_TOKEN, CLIENT_CODE)
def on_tick(ws, tick):
ltp = tick[0]['ltp']
token = tick[0]['tk']
df['ltp'][df.tk == token] = ltp
ss.on_ticks = on_tick
ss.connect()
st.write(df)
...ANSWER
Answered 2021-May-28 at 08:19the page should exist, it works for me This is a classic error: use .loc[] instead of [][]
QUESTION
I have a simple JSON that has a key and a value, both have different values. I want to show each key and value on a view, am not sure how to go about it. This is my json
...ANSWER
Answered 2021-May-07 at 08:22If possible, provide an example on stackblitz in order to be easier to reproduce it. Please try something like:
QUESTION
I am trying this following curl request
...ANSWER
Answered 2021-May-04 at 07:47You have to jump through some loops with Python to get the file you're after. Mainly, you need to get the request header cookie
part right, otherwise you'll keep getting 401
code.
First, you need to get the regular cookies from the authority www.nseindia.com
. Then, you need to get the bm_sv
cookie from the https://www.nseindia.com/json/quotes/equity-historical.json
. Finally, add something that's called nseQuoteSymbols
.
Glue all that together and make the request to get the file.
Here's how:
QUESTION
with this code i want to create boolean column check
to check if the value in the column LTP
is in the range of 0.10% of column val
.
all values are of type float
.
ANSWER
Answered 2021-Apr-20 at 11:35There is not closed ()
correctly, need parantheses for each condition:
QUESTION
I have deployed the Bitnami EFK helm chart on the K8s cluster. https://github.com/bitnami/charts/tree/master/bitnami/fluentd
All pod runs fine but Fluentd not showing any logs. I don't know if I have something missing in the config. However, the cluster is restricted, and don't know if that makes any difference. I deployed the same EFK on the unrestricted cluster with the same configuration and works totally fine.
...ANSWER
Answered 2021-Feb-26 at 10:25Could you please share what configuration is your forwarder using?
In the latest version of the chart (3.6.2) it will use the following by default:
QUESTION
so i am trying to make a interactive dashboard using dash plotly in python using below data as example:
...ANSWER
Answered 2020-Dec-25 at 07:06I have no experience with Dash, but this page will help you do it. I suggest you look into it and try to write some code before asking questions. I'm in a jupyterlab environment, so I've implemented some live riley for it.
QUESTION
The dataset has billions of data points for each pair. I tried the multiprocessing loop to make it faster. Why multiprocessing/for loop is skipping some elements from the Pairs? Once I run again, this skips some other names randomly and the code ends.
...ANSWER
Answered 2020-Dec-14 at 15:33Python doesn't handle Thread/Multiprocessing well with heavy files, I would recommend DASK here. DASK uses clustering which works like multiprocessing which takes lesser time, and then you can use multiprocessing, in addition, to run it faster.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install ltp
You can use ltp 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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