NCF | pytorch implementation of He et al | Machine Learning library

by guoyang9 Python Version: Current License: No License

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kandi X-RAY | NCF Summary

NCF is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Neural Network applications. NCF has no bugs, it has no vulnerabilities and it has low support. However NCF build file is not available. You can download it from GitHub.

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

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Support

NCF has a low active ecosystem.

It has 290 star(s) with 56 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 21 have been closed. On average issues are closed in 153 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NCF is current.

Quality

NCF has 0 bugs and 0 code smells.

Security

NCF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

NCF code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NCF does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

NCF releases are not available. You will need to build from source code and install.

NCF has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed NCF and discovered the below as its top functions. This is intended to give you an instant insight into NCF implemented functionality, and help decide if they suit your requirements.

Compute the metrics for each test
Calculate the reciprocal of a given item
Check if the item is in pred_items
Load all ratings from a test
Sample the model

Get all kandi verified functions for this library.

NCF Key Features

No Key Features are available at this moment for NCF.

NCF Examples and Code Snippets

No Code Snippets are available at this moment for NCF.

Community Discussions

Trending Discussions on NCF

Group Array or Dictionary to show sections to UITableView in Swift

Pyspark remove duplicates base 2 columns

issue with calculating accuracy

Wildcard to match string in R

How do I transfer values of a CSV files between certain dates to another CSV file based on the dates in the rows in that file?

How to solve a Pandas Merge Error: key must be integer or timestamp?

How to solve ValueError: left keys must be sorted when merging two Pandas dataframes?

How to get values from a dict into a new column, based on values in column

How to append something in a CSV file to a column in all the rows where the cell of the ticker column = 'AAPL'?

How do I keep the column names in a data frame when I am trying to drop all of the rows that don't start with specific names?

QUESTION

Group Array or Dictionary to show sections to UITableView in Swift

Asked 2022-Mar-02 at 13:50

I have this implementation:

Invoice - Hold info about Invoices

...

ANSWER

Answered 2022-Mar-02 at 13:50

You wrote:

Source https://stackoverflow.com/questions/71323072

QUESTION

Pyspark remove duplicates base 2 columns

Asked 2021-Oct-25 at 18:11

I have the next df in pyspark:

...

ANSWER

Answered 2021-Oct-25 at 18:03

You can use window functions to count if there are two or more rows with your conditions

Source https://stackoverflow.com/questions/69711607

QUESTION

issue with calculating accuracy

Asked 2021-May-05 at 17:27

i'm using Torch Metrics to try to calculate the accuracy of my model. But i'm getting this error. I tried using .to(device="cuda:0") but I got a cuda initialization error. I also tried using .cuda() but that didn't work either. I'm using PyTorch lightning with a Titan Xp GPU. Im using a mish activation function with the Movie-lens data set.

code:

...

ANSWER

Answered 2021-May-05 at 17:27

I am explaining it here,

This command:

Source https://stackoverflow.com/questions/67393293

QUESTION

Wildcard to match string in R

Asked 2021-Mar-16 at 11:38

This might sound quite silly but it's driving me nuts. I have a matrix that has alphanumeric values and I'm struggling to test if some elements of that matrix match only the initial and final letters. As I don't care the middle character, I'm trying (withouth success) to use a wildcard.

As an example, consider this matrix:

...

ANSWER

Answered 2021-Mar-16 at 11:38

You can use grepl with the subseted m like:

Source https://stackoverflow.com/questions/66654378

QUESTION

How do I transfer values of a CSV files between certain dates to another CSV file based on the dates in the rows in that file?

Asked 2021-Mar-16 at 04:46

Long question: I have two CSV files, one called SF1 which has quarterly data (only 4 times a year) with a datekey column, and one called DAILY which gives data every day. This is financial data so there are ticker columns.

I need to grab the quarterly data for SF1 and write it to the DAILY csv file for all the days that are in between when we get the next quarterly data.

For example, AAPL has quarterly data released in SF1 on 2010-01-01 and its next earnings report is going to be on 2010-03-04. I then need every row in the DAILY file with ticker AAPL between the dates 2010-01-01 until 2010-03-04 to have the same information as that one row on that date in the SF1 file.

So far, I have made a python dictionary that goes through the SF1 file and adds the dates to a list which is the value of the ticker keys in the dictionary. I thought about potentially getting rid of the previous string and just referencing the string that is in the dictionary to go and search for the data to write to the DAILY file.

Some of the columns needed to transfer from the SF1 file to the DAILY file are:

['accoci', 'assets', 'assetsavg', 'assetsc', 'assetsnc', 'assetturnover', 'bvps', 'capex', 'cashneq', 'cashnequsd', 'cor', 'consolinc', 'currentratio', 'de', 'debt', 'debtc', 'debtnc', 'debtusd', 'deferredrev', 'depamor', 'deposits', 'divyield', 'dps', 'ebit']

Code so far:

...

ANSWER

Answered 2021-Feb-27 at 12:10

The solution is merge_asof it allows to merge date columns to the closer immediately after or before in the second dataframe.

As is it not explicit, I will assume here that daily.date and sf1.datekey are both true date columns, meaning that their dtype is datetime64[ns]. merge_asof cannot use string columns with an object dtype.

I will also assume that you do not want the ev evebit evebitda marketcap pb pe and ps columns from the sf1 dataframes because their names conflict with columns from daily (more on that later):

Code could be:

Source https://stackoverflow.com/questions/66378725

QUESTION

How to solve a Pandas Merge Error: key must be integer or timestamp?

Asked 2021-Feb-28 at 10:49

I'm trying to merge to pandas dataframes, one is called DAILY and the other SF1.

DAILY csv:

...

ANSWER

Answered 2021-Feb-27 at 16:26

You are facing this problem because your date column in 'daily' and calendardate column in 'sf1' are of type object i.e string

Just change their type to datatime by pd.to_datetime() method

so just add these 2 lines of code in your Datasorting/cleaning code:-

Source https://stackoverflow.com/questions/66400763

QUESTION

How to solve ValueError: left keys must be sorted when merging two Pandas dataframes?

Asked 2021-Feb-27 at 19:10

I'm trying to merge two Pandas dataframes, one called SF1 with quarterly data, and one called DAILY with daily data.

Daily dataframe:

...

ANSWER

Answered 2021-Feb-27 at 19:10

The sorting by ticker is not necessary as this is used for the exact join. Moreover, having it as first column in your sort_values calls prevents the correct sorting on the columns for the backward-search, namely date and calendardate.

Try:

Source https://stackoverflow.com/questions/66402405

QUESTION

How to get values from a dict into a new column, based on values in column

Asked 2021-Feb-07 at 07:30

I have a dictionary that contains all of the information for company ticker : sector. For example 'AAPL':'Technology'.

I have a CSV file that looks like this:

...

ANSWER

Answered 2021-Feb-07 at 07:29

Use .map, not .apply to select values from a dict, by using a column value as a key, because .map is the method specifically implemented for this operation.
- .map will return NaN if the ticker is not in the dict.
.apply can be used, but .map should be used
- df['sector'] = df.ticker.apply(lambda x: company_dict.get(x))
- .get will return None if the ticker isn't in the dict.

Source https://stackoverflow.com/questions/66085264

QUESTION

How to append something in a CSV file to a column in all the rows where the cell of the ticker column = 'AAPL'?

Asked 2021-Jan-17 at 05:12

Quick question: I am trying to do some analysis on the tickers in a CSV file.

Example of CSV file (Note that these are only the first two lines and there are around 200 tickers in total):

...

ANSWER

Answered 2021-Jan-17 at 05:10

If you want to set some column value based on condition consider apply or iterrows

Source https://stackoverflow.com/questions/65757064

QUESTION

How do I keep the column names in a data frame when I am trying to drop all of the rows that don't start with specific names?

Asked 2020-Dec-18 at 18:50

I need to drop the majority of the companies in a historical stock market data CSV. The only companies I want to keep are 'GOOG', 'AAPL', 'AMZN', 'NFLX'. Note that there are over 20 000 companies listed in the CSV. I also want to filter out these companies while only using certain columns in the CSV. The columns are: 'ticker', 'datekey', 'assets', 'eps', 'pe', 'price', 'revenue'.

The code to filter out these companies is:

...

ANSWER

Answered 2020-Dec-18 at 18:50

list = ['GOOG', 'AAPL', 'AMZN', 'NFLX']
first = True

for tickers in list:
    df1 = df[df.ticker == tickers]
    if first:
        df1.to_csv("20CompanyAnalysisData1.csv", mode='a', header=True)
        first = False
    else: 
        df1.to_csv("20CompanyAnalysisData1.csv", mode='a', header=False)
    continue

Source https://stackoverflow.com/questions/65362151

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install NCF

You can download it from GitHub.
You can use NCF 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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