blog-2018 | Code samples for my 2018 blogposts

by MartinZikmund C# Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | blog-2018 Summary

blog-2018 is a C# library. blog-2018 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Code samples for my 2018 blogposts

Support

Quality

Security

License

Reuse

Support

blog-2018 has a low active ecosystem.

It has 13 star(s) with 18 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 316 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of blog-2018 is current.

Quality

blog-2018 has no bugs reported.

Security

blog-2018 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

blog-2018 is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

blog-2018 releases are not available. You will need to build from source code and install.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of blog-2018

Get all kandi verified functions for this library.

blog-2018 Key Features

No Key Features are available at this moment for blog-2018.

blog-2018 Examples and Code Snippets

No Code Snippets are available at this moment for blog-2018.

Community Discussions

Trending Discussions on blog-2018

AWS Sagemaker: What data format to pass to Estimator?

QUESTION

AWS Sagemaker: What data format to pass to Estimator?

Asked 2020-Jan-23 at 10:28

I'm following Sagemaker's k_nearest_neighbors_covtype example and had some questions about the way they pass their training data to the model.

For those who have not seen it, they load data from the internet, run some preprocessing, then save it to an S3 bucket in some sort of binary format (protobuf/recordIO). Their code is as follows:

...

ANSWER

Answered 2020-Jan-23 at 10:28

You can't pass a dataframe directly to the built-in KNN algo. It supports two input training formats: CSV, or RecordIO protobuf: https://docs.aws.amazon.com/sagemaker/latest/dg/kNN-in-formats.html.

The latter is more efficient, so it's the one we recommend.

In your case, you would simply need to convert your dataframe to a numpy array with to_numpy(), and then you can reuse the code in the notebook.

Source https://stackoverflow.com/questions/59864823

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

Vulnerabilities

No vulnerabilities reported

Install blog-2018

You can download it from GitHub.

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 .

Find more information at: