bopt | Bayesian Optimization using Gaussian Processes web | Analytics library

by darthdeus Python Version: 0.1.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | bopt Summary

bopt is a Python library typically used in Analytics applications. bopt has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install bopt' or download it from GitHub, PyPI.

Bayesian Optimization using Gaussian Processes + web interface with result visualizations

Support

Quality

Security

License

Reuse

Support

bopt has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 3 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of bopt is 0.1.0

Quality

bopt has no bugs reported.

Security

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

License

bopt 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

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

Deployable package is available in PyPI.

Build file is available. You can 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 bopt and discovered the below as its top functions. This is intended to give you an instant insight into bopt implemented functionality, and help decide if they suit your requirements.

Run Flask application
Serialize to YAML file
Convert a sample flag to an integer
Return a dict representation of the model
Predict the next value
Generate GP regression
Parse kernel name
Creates a kernel from a kernel
Run an action
Discretizes the observation
Create a new Sample from a dictionary
Convert timestamp to datetime
A worker thread
Perform an action
Run the experiment
Sample hyperparameters from a list of hyperparameters
Round a value to nearest buckets
Return a dictionary representation of the Runner
Round to the given value
Convert to xy coordinates
Return a dict representation of the runner
Return the lower and lower bounds of the sample
Creates a GPyModel from the given parameters
Return a gym environment
Returns a list of random sample results
Deserialize the experiment
Return a dictionary representation of the job

Get all kandi verified functions for this library.

bopt Key Features

No Key Features are available at this moment for bopt.

bopt Examples and Code Snippets

No Code Snippets are available at this moment for bopt.

Community Discussions

Trending Discussions on bopt

Merge 2 List of Object by Group of fields

Deep Neural Network training, why is the network training not converging?

GpyOpt ignores constraints. What is the correct way to specify them?

GulpUglifyError: unable to minify JavaScript error with Browserify

MATCONVVNET nnloss error 'Index Exceed Matrix Dimension'

Scala: Chain Options with logging

QUESTION

Merge 2 List of Object by Group of fields

Asked 2020-Jul-06 at 07:21

I have 2 lists of objects that come from 2 tables in database with same set of primary key.

...

ANSWER

Answered 2020-Jul-06 at 07:21

As I suggested in the comment, this can be done in O(n) by creating a hashmap where combination of primary key is a map key and Obj or just data1 is it's value. As you noticed in the comments, there might be some collisions if list contains objects like (pk1, pk2, pk3) = (“1”, “23”, “4”) and (“1”, “2”, “34”). You can easily work around that as well. One way would be to create a separate class to hold the keys in 3 fields. However, if you're sure that those primary keys are always numbers or just that there is some character that won't ever appear in them, you can use that character as a separator.

Source https://stackoverflow.com/questions/62750416

QUESTION

Deep Neural Network training, why is the network training not converging?

Asked 2019-Dec-06 at 17:33

I'm using MATCONVNET DagNN. Using AlexNet architecture. The last few layers of my architecture are

...

ANSWER

Answered 2017-May-13 at 18:48

Try to decrease the momentum , say, to 0.5

Source https://stackoverflow.com/questions/43954591

QUESTION

GpyOpt ignores constraints. What is the correct way to specify them?

Asked 2019-Apr-08 at 13:35

I want to run a constrained optimization in GpyOpt. Say, I want to minimize

where

s.t. at least one is non-zero and, and not more than 3 can be equal to 1. So I specify constraints:

Based on the reference manual here, it looks like we can specify constraints using numpy function. And here is suggested that we can specify constraints in the call to BayesianOptimization. So I express this in GpyOpt using the following code

...

ANSWER

Answered 2018-Mar-22 at 14:34

I am not sure you are summing up the x's right. The constraint expression is supposed to work over whole X and output an array of values per data point, which are then each checked against the constraint.

When I change the summing in both expressions to:

Source https://stackoverflow.com/questions/49390243

QUESTION

GulpUglifyError: unable to minify JavaScript error with Browserify

Asked 2017-Apr-27 at 08:50

I'm bundling my script with Browserify + Babel like this:

...

ANSWER

Answered 2017-Apr-27 at 08:50

Try to replace let by var and see what happens.

Source https://stackoverflow.com/questions/43363821

QUESTION

MATCONVVNET nnloss error 'Index Exceed Matrix Dimension'

Asked 2017-Apr-13 at 08:35

I have made my own IMDB using a set of 51000 images categorized into 43 different categories of road traffic signs. However, when I want to use my own IMDB to train the alexnet network, I get an error which says: Index exceeds matrix dimensions.

...

ANSWER

Answered 2017-Apr-13 at 08:35

Your network is not true. Conv1 layer must be [11 11 3 48]. If it doesn't work check again your network. This error occurs due to your network errors.

Source https://stackoverflow.com/questions/43083287

QUESTION

Scala: Chain Options with logging

Asked 2017-Mar-14 at 16:55

I want to chain few Options to compute final value. It's simple:

...

ANSWER

Answered 2017-Mar-14 at 15:56

def compute(aOpt: Option[String], 
            bOpt: Option[String],
            cFun: (String, String) => Option[String], logger: Logger): Option[String] = {

        val optList = List((aOpt, "a"), 
                           (bOpt, "b"), 
                           (cFun(aOpt.getOrElse(""), bOpt.getOrElse("")), "c"))

        optList.foreach(x => if(x._1.isEmpty) logger.error(x._2 + " is Empty"))

        for (a <- aOpt; b <- bOpt; c <- cFun(a, b)) yield a + b + c
   }

Source https://stackoverflow.com/questions/42789325

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

Vulnerabilities

No vulnerabilities reported

Install bopt

You can install using 'pip install bopt' or download it from GitHub, PyPI.
You can use bopt 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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