ML | Machine Learning Algorithms | Machine Learning library

 by   tarcisio-marinho Python Version: Current License: No License

kandi X-RAY | ML Summary

kandi X-RAY | ML Summary

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

Machine Learning Algorithms
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            kandi-support Support

              ML has a low active ecosystem.
              It has 8 star(s) with 0 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              ML has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ML is current.

            kandi-Quality Quality

              ML has 0 bugs and 0 code smells.

            kandi-Security Security

              ML has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ML code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ML does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              ML releases are not available. You will need to build from source code and install.
              ML has no build file. You will be need to create the build yourself to build the component from source.
              It has 422 lines of code, 24 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ML and discovered the below as its top functions. This is intended to give you an instant insight into ML implemented functionality, and help decide if they suit your requirements.
            • Extracts weights from data
            • Train a neural network
            • Create a neural network
            • Fit the centroids
            • Test for cancer accuracy
            • Computes the kn - nearest neighbors
            • Compute the euclidian distance between two plots
            • Visualize the feature
            • Handle non - numeric data columns
            • Create a dataset
            • Test the knn
            • Calculates the best fit of the slop and intercept
            • Calculates the coefficient of the determination
            • Squared squared error
            • Predict the classification of the given data
            Get all kandi verified functions for this library.

            ML Key Features

            No Key Features are available at this moment for ML.

            ML Examples and Code Snippets

            No Code Snippets are available at this moment for ML.

            Community Discussions

            QUESTION

            F# Custom Operator reporting incorrect usage in Computation Expression
            Asked 2022-Apr-16 at 17:31

            I am creating a Computation Expression (CE) for simplifying the definition of Plans for modelers. I want to define functions that are only available in the CE. In this example the compiler says that the custom operations step and branch are being used incorrectly but I don't see why. All the compiler is saying is that they are not used correctly.

            Note I know that I could define step and branch outside of the CE to accomplish this. This question is explicitly about using Custom Operators. I want to isolate this logic so that it is only available in the context of the CE.

            ...

            ANSWER

            Answered 2022-Apr-16 at 14:07

            It's because you're inside of the list at this point. The CE keywords only work directly at the "top level" of a CE, as far as I'm aware.

            You could make a "sub" CE for the individual step and put keywords in there e.g.

            Source https://stackoverflow.com/questions/71894206

            QUESTION

            Error while downloading the requirements using pip install (setup command: use_2to3 is invalid.)
            Asked 2022-Mar-05 at 07:13

            version pip 21.2.4 python 3.6

            The command:

            ...

            ANSWER

            Answered 2021-Nov-19 at 13:30

            It looks like setuptools>=58 breaks support for use_2to3:

            setuptools changelog for v58

            So you should update setuptools to setuptools<58 or avoid using packages with use_2to3 in the setup parameters.

            I was having the same problem, pip==19.3.1

            Source https://stackoverflow.com/questions/69100275

            QUESTION

            When does a mailbox processor stop running?
            Asked 2022-Mar-02 at 13:09

            I am having trouble understanding when a MailboxProcessor "finishes" in F#.

            I have collected some examples where the behavior is (perhaps) counter-intuitive.

            This mailbox processor prints nothing and halts the program:

            ...

            ANSWER

            Answered 2022-Mar-02 at 13:09

            When started, MailboxProcessor will run the asynchronous computation specified as the body. It will continue running until the body finishes (either by reaching the end or by throwing an exception) or until the program itself is terminated (as the mailbox processor runs in the background).

            To comment on your examples:

            • This mailbox processor prints nothing and halts the program - I assume you run this in a console app that terminates after the mailbox processor is created. There is nothing blocking the program and so it ends (killing the mailbox processor in the background).

            • This mailbox processor counts up to 2207 then the program exits - I suspect this is for the same reason - your program creates the mailbox processor, which manages to run for a while, but then the program itself is terminated and the mailbox processor killed.

            • This mailbox processor prints 1 then the program exits - The body of the mailbox processor hangs and the next two messages are queued. The queue is never processed (because the body has hanged) and then your program terminates.

            You will get more useful insights if you add something like Console.ReadLine() to the end of your program, because this will prevent the program from terminating and killing the mailbox processor.

            For example, the following will process all 100000 items:

            Source https://stackoverflow.com/questions/71323000

            QUESTION

            How to fix SageMaker data-quality monitoring-schedule job that fails with 'FailureReason': 'Job inputs had no data'
            Asked 2022-Feb-26 at 04:38

            I am trying to schedule a data-quality monitoring job in AWS SageMaker by following steps mentioned in this AWS documentation page. I have enabled data-capture for my endpoint. Then, trained a baseline on my training csv file and statistics and constraints are available in S3 like this:

            ...

            ANSWER

            Answered 2022-Feb-26 at 04:38

            This happens, during the ground-truth-merge job, when the spark can't find any data either in '/opt/ml/processing/groundtruth/' or '/opt/ml/processing/input_data/' directories. And that can happen when either you haven't sent any requests to the sagemaker endpoint or there are no ground truths.

            I got this error because, the folder /opt/ml/processing/input_data/ of the docker volume mapped to the monitoring container had no data to process. And that happened because, the thing that facilitates entire process, including fetching data couldn't find any in S3. and that happened because, there was an extra slash(/) in the directory to which endpoint's captured-data will be saved. to elaborate, while creating the endpoint, I had mentioned the directory as s3:////, while it should have just been s3:///. so, while the thing that copies data from S3 to docker volume tried to fetch data of that hour, the directory it tried to extract the data from was s3://////////(notice the two slashes). So, when I created the endpoint-configuration again with the slash removed in S3 directory, this error wasn't present and ground-truth-merge operation was successful as part of model-quality-monitoring.

            I am answering this question because, someone read the question and upvoted it. meaning, someone else has faced this problem too. so, I have mentioned what worked for me. And I wrote this, so that StackExchange doesn't think I am spamming the forum with questions.

            Source https://stackoverflow.com/questions/69179914

            QUESTION

            ngtsc(2345) - Argument of type 'Event' is not assignable to parameter of type 'SortEvent'
            Asked 2022-Feb-25 at 14:22

            I'm new to angular. I've been trying to sort columns but I keep on getting this error:

            Argument of type 'Event' is not assignable to parameter of type 'SortEvent'. Type 'Event' is missing the following properties from type 'SortEvent': column, direction - ngtsc(2345).

            Any suggestions on how to make this work?

            s-product-management.component.html:

            ...

            ANSWER

            Answered 2021-Aug-21 at 14:06

            $event is not the same type as SortEvent, as you need. $event will always contain a lot of key-value pairs, unless you are using with anything other than legacy elements.

            Source https://stackoverflow.com/questions/68871553

            QUESTION

            value level module packing and functors in OCaml
            Asked 2022-Jan-20 at 17:50

            I wonder why one example fails and not the other.

            ...

            ANSWER

            Answered 2022-Jan-20 at 17:50

            In the first case, the type of l is unified with the type defined in the module M, which defines the module type. Since the type is introduced after the value l, which is a parameter in an eager language so it already exists, the value l receives a type that doesn't yet exist at the time of its creation. It is the soundness requirement of the OCaml type system that the value lifetime has to be enclosed with its type lifetime, or more simply each value must have a type. The simplest example is,

            Source https://stackoverflow.com/questions/70789346

            QUESTION

            Azure Auto ML JobConfigurationMaxSizeExceeded error when using a cluster
            Asked 2022-Jan-03 at 10:09

            I am running into the following error when I try to run Automated ML through the studio on a GPU compute cluster:

            Error: AzureMLCompute job failed. JobConfigurationMaxSizeExceeded: The specified job configuration exceeds the max allowed size of 32768 characters. Please reduce the size of the job's command line arguments and environment settings

            The attempted run is on a registered tabulated dataset in filestore and is a simple regression case. Strangely, it works just fine with the CPU compute instance I use for my other pipelines. I have been able to run it a few times using that and wanted to upgrade to a cluster only to be hit by this error. I found online that it could be a case of having the following setting: AZUREML_COMPUTE_USE_COMMON_RUNTIME:false; but I am not sure where to put this in when just running from the web studio.

            ...

            ANSWER

            Answered 2021-Dec-13 at 17:58

            This is a known bug. I am following up with product group to see if there any update for this bug. For the workaround you mentioned, it need you to go to the node failing with the JobConfigurationMaxSizeExceeded exception and manually set AZUREML_COMPUTE_USE_COMMON_RUNTIME:false in their Environment JSON field.

            The node is as below screenshot.

            Source https://stackoverflow.com/questions/70279636

            QUESTION

            Is there a shorthand for Boolean `match` expressions?
            Asked 2022-Jan-02 at 11:22

            Is there a shorthand for the match expression with isVertical here?

            ...

            ANSWER

            Answered 2021-Dec-11 at 04:38

            Yes, it's just an if-expression:

            Source https://stackoverflow.com/questions/70312577

            QUESTION

            After updating Gradle to 7.0.2, Element type “manifest” must be followed by either attribute specifications, “>” or “/>” error
            Asked 2021-Dec-29 at 11:19

            So today I updated Android Studio to:

            ...

            ANSWER

            Answered 2021-Jul-30 at 07:00

            Encountered the same problem. Update Huawei services. Please take care. Remember to keep your dependencies on the most up-to-date version. This problem is happening on Merged-Manifest.

            Source https://stackoverflow.com/questions/68575710

            QUESTION

            Explicitly polymorphic annotation in nested context
            Asked 2021-Dec-24 at 23:11

            In the code below, I am not sure I understand why there is a type error on _nested2.

            Does that mean that only toplevel definitions generalize their inferred type to match an explicitly polymorphic signature?

            ...

            ANSWER

            Answered 2021-Dec-24 at 23:11

            The issue is that the 'a type variable in the (l': 'a t) annotation lives in the whole toplevel definition and thus outlives the polymorphic annotation.

            In order to illustrate this scope issue for type variables, consider

            Source https://stackoverflow.com/questions/70472863

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

            Vulnerabilities

            No vulnerabilities reported

            Install ML

            You can download it from GitHub.
            You can use ML 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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