prediction | Tidy , Type-Safe 'prediction ' Methods | Machine Learning library

by leeper R Version: v0.3.6 License: Non-SPDX

X-Ray Key Features Code Snippets(4)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | prediction Summary

prediction is a R library typically used in Artificial Intelligence, Machine Learning applications. prediction has no bugs, it has no vulnerabilities and it has low support. However prediction has a Non-SPDX License. You can download it from GitHub.

The prediction and margins packages are a combined effort to port the functionality of Stata's (closed source) margins command to (open source) R. prediction is focused on one function - prediction() - that provides type-safe methods for generating predictions from fitted regression models. prediction() is an S3 generic, which always return a "data.frame" class object rather than the mix of vectors, lists, etc. that are returned by the predict() methods for various model types. It provides a key piece of underlying infrastructure for the margins package. Users interested in generating marginal (partial) effects, like those generated by Stata's margins, dydx(*) command, should consider using margins() from the sibling project, margins.

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Support

prediction has a low active ecosystem.

It has 82 star(s) with 12 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 24 have been closed. On average issues are closed in 74 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of prediction is v0.3.6

Quality

prediction has no bugs reported.

Security

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

License

prediction has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

prediction releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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prediction Key Features

No Key Features are available at this moment for prediction.

prediction Examples and Code Snippets

Masked Patch Prediction

pypi

Lines of Code : 39

License : No License

Copy

import torch
from vit_pytorch import ViT
from vit_pytorch.mpp import MPP

model = ViT(
    image_size=256,
    patch_size=32,
    num_classes=1000,
    dim=1024,
    depth=6,
    heads=8,
    mlp_dim=2048,
    dropout=0.1,
    emb_dropout=0.1
)

mpp_

Predict the prediction .

python

Lines of Code : 40

License : Permissive (MIT License)

Copy

def predict(self, input: numpy.ndarray) -> int:
        """
        Predict's the output for the given input values using
        the trained neural network.

        The output value given by the model ranges in-between 0 and 1.
        The predi

Predict the prediction .

java

Lines of Code : 36

License : Permissive (MIT License)

Copy

private static void predict(Map> data) {
        HashMap uPred = new HashMap();
        HashMap uFreq = new HashMap();
        for (Item j : diff.keySet()) {
            uFreq.put(j, 0);
            uPred.put(j, 0.0);
        }
        for (Entry&

Performs prediction on the given data .

python

Lines of Code : 33

License : Non-SPDX (Apache License 2.0)

Copy

def predict(self,
              model,
              x,
              batch_size=None,
              verbose=0,
              steps=None,
              callbacks=None,
              **kwargs):
    """Predict loop for Distribution Strategies."""
    d

Community Discussions

Trending Discussions on prediction

How to use database models in Python Flask?

Tensorflow ValueError: Dimensions must be equal: LSTM+MDN

SHAP DeepExplainer with TensorFlow 2.4+ error

Word Prediction APP does not show results

Serving service from kfserving github examples created with kubectl, but can not infere

parsing json in pandas dataframe

How do I need to write the 3rd line - Not enough information to infer type variable T

Save/Export a custom tokenizer from google colab notebook

how can I improve this confusion matrix in R?

sklearn "Pipeline instance is not fitted yet." error, even though it is

QUESTION

How to use database models in Python Flask?

Asked 2021-Jun-15 at 02:32

I'm trying to learn Flask and use postgresql with it. I'm following this tutorial https://realpython.com/flask-by-example-part-2-postgres-sqlalchemy-and-alembic/, but I keep getting error.

...

ANSWER

Answered 2021-Jun-15 at 02:32

I made a new file database.py and defined db there.

database.py

Source https://stackoverflow.com/questions/67976688

QUESTION

Tensorflow ValueError: Dimensions must be equal: LSTM+MDN

Asked 2021-Jun-14 at 19:07

I am trying to make a next-word prediction model with LSTM + Mixture Density Network Based on this implementation(https://www.katnoria.com/mdn/).

Input: 300-dimensional word vectors*window size(5) and 21-dimensional array(c) representing topic distribution of the document, used to train hidden initial states.

Output: mixing coefficient*num_gaussians, variance*num_gaussians, mean*num_gaussians*300(vector size)

x.shape, y.shape, c.shape with an experimental 161 obserbations gives me such:

(TensorShape([161, 5, 300]), TensorShape([161, 300]), TensorShape([161, 21]))

...

ANSWER

Answered 2021-Jun-14 at 19:07

for MDN model , the likelihood for each sample has to be calculated with all the Gaussians pdf , to do that I think you have to reshape your matrices ( y_true and mu) and take advantage of the broadcasting operation by adding 1 as the last dimension . e.g:

Source https://stackoverflow.com/questions/67965364

QUESTION

SHAP DeepExplainer with TensorFlow 2.4+ error

Asked 2021-Jun-14 at 14:52

I'm trying to compute shap values using DeepExplainer, but I get the following error:

keras is no longer supported, please use tf.keras instead

Even though i'm using tf.keras?

...

ANSWER

Answered 2021-Jun-14 at 14:52

TL;DR

Add tf.compat.v1.disable_v2_behavior() at the top for TF 2.4+

calculate shap values on numpy array, not on df

Full reproducible example:

Source https://stackoverflow.com/questions/66814523

QUESTION

Word Prediction APP does not show results

Asked 2021-Jun-14 at 12:17

I would greatly appreciate any feedback you might offer regarding the issue I am having with my Word Prediction Shiny APP Code for the JHU Capstone Project.

My UI code runs correctly and displays the APP. (see image and code below)

Challenge/Issue: My problem is that after entering text into the "Text input" box of the APP, my server.R code does not return the predicted results.

Prediction Function:

When I run this line of code in the RConsole -- predict(corpus_train,"case of") -- the following results are returned: 1 "the" "a" "beer"

When I use this same line of code in my server.r Code, I do not get prediction results.

Any insight suggestions and help would be greatly appreciated.

...

ANSWER

Answered 2021-Apr-27 at 06:46

Eiterh you go for verbatimTextOutput and renderPrint (you will get a preformatted output) OR for textOutput and renderText and textOutput (you will get unformatted text).

Source https://stackoverflow.com/questions/67268023

QUESTION

Serving service from kfserving github examples created with kubectl, but can not infere

Asked 2021-Jun-14 at 11:19

I have installed minikube cluster and kfserving on a linux desktop. Then I have followed two tutorials
https://github.com/kubeflow/kfserving/tree/master/docs/samples/v1beta1/custom/torchserve
https://github.com/kubeflow/kfserving/tree/master/docs/samples/v1alpha2/custom/kfserving-custom-model

In the second tutorial I have needed to move "name: custom" from "custom:" section to "container:" section in the yaml file.
I expected that serving service was working and responding to serving requests and pods of the service where in kubernetes.
I use the newest stable versions from May 2021.

But I have same bug in both tutorials. Bellow commands are from the first tutorial. When I prepare docker images with models and run

...

ANSWER

Answered 2021-Jun-14 at 11:17

It turned out that my local docker registry wasn't visible from kubernetes. kubectl get events shows InternalError "Unable to fetch image ... "

Source https://stackoverflow.com/questions/67939827

QUESTION

parsing json in pandas dataframe

Asked 2021-Jun-12 at 21:29

I need to parse this response into a pandas dataframe.

...

ANSWER

Answered 2021-Jun-12 at 20:42

the response seems like a bunch of records you could parse them one by one, then concat it together:

Source https://stackoverflow.com/questions/67952459

QUESTION

How do I need to write the 3rd line - Not enough information to infer type variable T

Asked 2021-Jun-12 at 09:29

I'm new to Kotlin and try to convert a project from Java to Kotlin
I just need one last step and I don't understand what's going on :(

I'm getting a Not enough information to infer type variable T on model.predict call

...

ANSWER

Answered 2021-Jun-12 at 09:29

I needed to write

Source https://stackoverflow.com/questions/67946801

QUESTION

Save/Export a custom tokenizer from google colab notebook

Asked 2021-Jun-12 at 09:28

I have a custom tokenizer and want to use it for prediction in Production API. How do I save/download the tokenizer?

This is my code trying to save it:

...

ANSWER

Answered 2021-Jun-12 at 09:28

Here is the situation, using a simple file to disentangle the issue from irrelevant specificities like pickle, Tensorflow, and tokenizers:

Source https://stackoverflow.com/questions/67936111

QUESTION

how can I improve this confusion matrix in R?

Asked 2021-Jun-12 at 09:20

Using the iris dataset in R, I write a function to plot a confusion matrix.

...

ANSWER

Answered 2021-Jun-12 at 09:19

You can create separate column for labels. For 0 frequency make them as blank.

Source https://stackoverflow.com/questions/67946452

QUESTION

sklearn "Pipeline instance is not fitted yet." error, even though it is

Asked 2021-Jun-11 at 23:28

A similar question is already asked, but the answer did not help me solve my problem: Sklearn components in pipeline is not fitted even if the whole pipeline is?

I'm trying to use multiple pipelines to preprocess my data with a One Hot Encoder for categorical and numerical data (as suggested in this blog).

Here is my code, and even though my classifier produces 78% accuracy, I can't figure out why I cannot plot the decision-tree I'm training and what can help me fix the problem. Here is the code snippet:

...

ANSWER

Answered 2021-Jun-11 at 22:09

You cannot use the export_text function on the whole pipeline as it only accepts Decision Tree objects, i.e. DecisionTreeClassifier or DecisionTreeRegressor. Only pass the fitted estimator of your pipeline and it will work:

Source https://stackoverflow.com/questions/67943229

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