model_convert | convert db tables to golang model code

by fwhezfwhez Go Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | model_convert Summary

model_convert is a Go library typically used in Utilities applications. model_convert has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

convert db tables to golang model code.

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Support

model_convert has a low active ecosystem.

It has 8 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of model_convert is current.

Quality

model_convert has no bugs reported.

Security

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

License

model_convert 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

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

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

Top functions reviewed by kandi - BETA

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

TableToStructWithTag is used to generate a struct tag with tags
GoModelToProto2 converts an interface to a proto message .
generateUpdateOneAPI generates a request to update one field .
generateUpdateOneAPIV2 renders an update one or more API operation .
GoModelToProto3 converts an interface to a Go struct .
generate sql notes
GenerateListAPI generates a list API endpoint .
GenerateListAPIV2 generates a List API endpoint based on the src argument
GenerateListWhere generates a list where clause based on src
GenerateListWhereV2 returns a list where v2 represents a v2 .

Get all kandi verified functions for this library.

model_convert Key Features

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model_convert Examples and Code Snippets

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Community Discussions

Trending Discussions on model_convert

Using Chopper networking library with flutter_bloc library in flutter

scikit-learn: Convert multi-output decision tree to CoreML model

QUESTION

Using Chopper networking library with flutter_bloc library in flutter

Asked 2020-Oct-23 at 22:13

I am using the Chopper library to invoke Rest APIs and flutter_bloc for my business logic.

My Chopper class

...

ANSWER

Answered 2020-Oct-23 at 22:13

I think it is better to use 'BlocBuilder' as a child of "BlocProvider", like this:

Source https://stackoverflow.com/questions/64506564

QUESTION

scikit-learn: Convert multi-output decision tree to CoreML model

Asked 2017-Aug-06 at 07:14

I have a trained scikit-learn model that uses a multi-output decision tree (as a RandomForestRegressor). No custom configuration was explicitly made to the Random Forest Regression model to enable multi-output behavior, as multi-output behavior is built-in. Basically, as long as you fit multi-output training data to the model, the model will switch to multi-output mode behind the scenes.

Additionally, the RandomForestRegressor is a supported transformer that the CoreML conversion scripts supply. However, during the conversion, I get this error w/ stack trace:

ValueError: Expected only 1 output in the scikit-learn tree.

...

ANSWER

Answered 2017-Aug-06 at 07:14

CoreML is (right now) a brand new thing, so there is currently not any known sources of third-party conversion scripts.

The "Models" section of the coremltools documentation provides extensive documentation of how to use Python to produce a CoreML model. That being said, you can translate any machine learning model to a CoreML model using the model interfaces provided in the documentation.

At the moment, coremltools does not support multi-output regression models. If you don't wish to reinvent the wheel, you will need to convert the model to a single output model by introducing a new input that corresponds to which output the current prediction is for.

Either way, the documentation is there so that should get you started.

Source https://stackoverflow.com/questions/45291093

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

Vulnerabilities

No vulnerabilities reported

Install model_convert

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 .

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