TF | Python implementation of N-dimensional Tensor Factorization | Recommender System library

by VincentLiu3 Python Version: Current License: No License

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kandi X-RAY | TF Summary

TF is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Recommender System applications. TF has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Python implementation of N-dimensional Tensor Factorization

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Quality

Security

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Support

TF has a low active ecosystem.

It has 11 star(s) with 8 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TF is current.

Quality

TF has 0 bugs and 0 code smells.

Security

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

TF code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TF 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Top - level TPTF
Tensor - tensor product of tensors
Compute the predictions for the given indices
Root mean squared error
Calculate training loss
Compute the prediction for the given indices
Parse arguments
Read data from file
Save result to file
Save the model
Integrate between two dimensions
Mean squared error
Convert string to list

Get all kandi verified functions for this library.

TF Key Features

No Key Features are available at this moment for TF.

TF Examples and Code Snippets

No Code Snippets are available at this moment for TF.

Community Discussions

Trending Discussions on TF

json.Marshal(): json: error calling MarshalJSON for type msgraph.Application

How to prevent Keras from computing metrics during training

Terraform AWS Provider Error: Value for unconfigurable attribute. Can't configure a value for "acl": its value will be decided automatically

Saving model on Tensorflow 2.7.0 with data augmentation layer

logistic regression and GridSearchCV using python sklearn

ValueError after attempting to use OneHotEncoder and then normalize values with make_column_transformer

Tensorflow Datasets: Crop/Resize images per batch after dataset.batch()

trigger lambda function from DynamoDB

Terraform: Inappropriate value for attribute "ingress" while creating SG

How can I list all methods of all imported classes in a file using Java?

QUESTION

json.Marshal(): json: error calling MarshalJSON for type msgraph.Application

Asked 2022-Mar-27 at 23:59

What specific syntax or configuration changes must be made in order to resolve the error below in which terraform is failing to create an instance of azuread_application?

THE CODE:

The terraform code that is triggering the error when terraform apply is run is as follows:

...

ANSWER

Answered 2021-Oct-07 at 18:35

This was a bug, reported as GitHub issue:

Error: ODataId was nil when creating an azuread_group resource #588

The resolution to the problem in the OP is to upgrade the version from 2.5.0 to 2.6.0 in the required_providers block from the code in the OP above as follows:

Source https://stackoverflow.com/questions/69459069

QUESTION

How to prevent Keras from computing metrics during training

Asked 2022-Mar-23 at 09:20

I'm using Tensorflow/Keras 2.4.1 and I have a (unsupervised) custom metric that takes several of my model inputs as parameters such as:

...

ANSWER

Answered 2022-Mar-16 at 13:52

I was able to use learning_phase but only in symbolic tensor mode (graph) mode:

So, at first we need to disable eager mode (this must be done right after importing tensorflow):

Source https://stackoverflow.com/questions/71412499

QUESTION

Terraform AWS Provider Error: Value for unconfigurable attribute. Can't configure a value for "acl": its value will be decided automatically

Asked 2022-Feb-15 at 13:50

Just today, whenever I run terraform apply, I see an error something like this: Can't configure a value for "lifecycle_rule": its value will be decided automatically based on the result of applying this configuration.

It was working yesterday.

Following is the command I run: terraform init && terraform apply

Following is the list of initialized provider plugins:

...

ANSWER

Answered 2022-Feb-15 at 13:49

Terraform AWS Provider is upgraded to version 4.0.0 which is published on 10 February 2022.

Major changes in the release include:

Version 4.0.0 of the AWS Provider introduces significant changes to the aws_s3_bucket resource.
Version 4.0.0 of the AWS Provider will be the last major version to support EC2-Classic resources as AWS plans to fully retire EC2-Classic Networking. See the AWS News Blog for additional details.
Version 4.0.0 and 4.x.x versions of the AWS Provider will be the last versions compatible with Terraform 0.12-0.15.

The reason for this change by Terraform is as follows: To help distribute the management of S3 bucket settings via independent resources, various arguments and attributes in the aws_s3_bucket resource have become read-only. Configurations dependent on these arguments should be updated to use the corresponding aws_s3_bucket_* resource. Once updated, new aws_s3_bucket_* resources should be imported into Terraform state.

So, I updated my code accordingly by following the guide here: Terraform AWS Provider Version 4 Upgrade Guide | S3 Bucket Refactor

The new working code looks like this:

Source https://stackoverflow.com/questions/71078462

QUESTION

Saving model on Tensorflow 2.7.0 with data augmentation layer

Asked 2022-Feb-04 at 17:25

I am getting an error when trying to save a model with data augmentation layers with Tensorflow version 2.7.0.

Here is the code of data augmentation:

...

ANSWER

Answered 2022-Feb-04 at 17:25

This seems to be a bug in Tensorflow 2.7 when using model.save combined with the parameter save_format="tf", which is set by default. The layers RandomFlip, RandomRotation, RandomZoom, and RandomContrast are causing the problems, since they are not serializable. Interestingly, the Rescaling layer can be saved without any problems. A workaround would be to simply save your model with the older Keras H5 format model.save("test", save_format='h5'):

Source https://stackoverflow.com/questions/69955838

QUESTION

logistic regression and GridSearchCV using python sklearn

Asked 2021-Dec-10 at 14:14

I am trying code from this page. I ran up to the part LR (tf-idf) and got the similar results

After that I decided to try GridSearchCV. My questions below:

...

ANSWER

Answered 2021-Dec-09 at 23:12

You end up with the error with precision because some of your penalization is too strong for this model, if you check the results, you get 0 for f1 score when C = 0.001 and C = 0.01

Source https://stackoverflow.com/questions/70264157

QUESTION

ValueError after attempting to use OneHotEncoder and then normalize values with make_column_transformer

Asked 2021-Dec-09 at 20:59

So I was trying to convert my data's timestamps from Unix timestamps to a more readable date format. I created a simple Java program to do so and write to a .csv file, and that went smoothly. I tried using it for my model by one-hot encoding it into numbers and then turning everything into normalized data. However, after my attempt to one-hot encode (which I am not sure if it even worked), my normalization process using make_column_transformer failed.

...

ANSWER

Answered 2021-Dec-09 at 20:59

using OneHotEncoder is not the way to go here, it's better to extract the features from the column time as separate features like year, month, day, hour, minutes etc... and give these columns as input to your model.

Source https://stackoverflow.com/questions/70118623

QUESTION

Tensorflow Datasets: Crop/Resize images per batch after dataset.batch()

Asked 2021-Dec-02 at 08:56

Is it possible to Crop/Resize images per batch ?

I'm using Tensorflow dataset API as below:

...

ANSWER

Answered 2021-Dec-01 at 14:51

Generally, you can try something like this:

Source https://stackoverflow.com/questions/70091290

QUESTION

trigger lambda function from DynamoDB

Asked 2021-Nov-17 at 22:35

Every time a new item arrives in my dynamo table, I want to run a lambda function trigger_lambda_function. This is how I define my table and trigger. However, the trigger does not work as expected.

...

ANSWER

Answered 2021-Nov-17 at 22:35

From the aws_dynamodb_table docs, stream_arn is only available if stream_enabled is set to true. You might want to add stream_enabled = true to your DynamoDB table definition.

By default stream_enabled is set to false. You can see all the default values here for aws_dynamodb_table.

Source https://stackoverflow.com/questions/70008141

QUESTION

Terraform: Inappropriate value for attribute "ingress" while creating SG

Asked 2021-Nov-02 at 04:36

I'm creating a Security group using terraform, and when I'm running terraform plan. It is giving me an error like some fields are required, and all those fields are optional.

Terraform Version: v1.0.5

AWS Provider version: v3.57.0

main.tf

...

ANSWER

Answered 2021-Sep-06 at 21:28

Since you are using Attributes as Blocks you have to provide values for all options:

Source https://stackoverflow.com/questions/69079945

QUESTION

How can I list all methods of all imported classes in a file using Java?

Asked 2021-Oct-08 at 07:08

My objective is to look at some lines of codes of an external file and count the number of functions of a class are called then.

For example, if I have the following code:

...

ANSWER

Answered 2021-Sep-30 at 19:39

The compiler doesn't put the imports into the object file. It throws them away. Import is just a shorthand to the compiler.(Imports are a compile-time feature ).

first step :

use Qdox https://github.com/paul-hammant/qdox to get all the imports in a class :

Source https://stackoverflow.com/questions/69382951

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

Vulnerabilities

No vulnerabilities reported

Install TF

You can type python TF.py --help for more details about the parameters. It is recommended to start from a small learning rate (especially for lrS).

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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