AUC | cat label_score

by CastellanZhang C++ Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | AUC Summary

AUC is a C++ library. AUC has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

cat label_score.txt | ./AUC.

Support

Quality

Security

License

Reuse

Support

AUC has a low active ecosystem.

It has 8 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

AUC has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AUC is current.

Quality

AUC has no bugs reported.

Security

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

License

AUC 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

AUC 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 AUC

Get all kandi verified functions for this library.

AUC Key Features

No Key Features are available at this moment for AUC.

AUC Examples and Code Snippets

Plot ROC AUC .

python

Lines of Code : 21

License : Permissive (MIT License)

Copy

def plot_roc_auc(y_true, y_pred):
    """
    This function plots the ROC curves and provides the scores.
    """
    # prepare for figure
    plt.figure()
    fpr, tpr, _ = roc_curve(y_true, y_pred)
    # obtain ROC AUC
    roc_auc = auc(fpr, tpr)

Community Discussions

Trending Discussions on AUC

How to add several binary classifiers at the end of a MLP with Keras?

Apply a multi parameter function to all data frames in a list in R

" samples: %r" % [int(l) for l in lengths]) ValueError: Found input variables with inconsistent numbers of samples: [219870, 0, 0]

Getting AUCs for several predictors and outcomes in a dataframe

ValueError: Number of Coefficients does not match number of features (Mglearn visualization)

How to extract mlr3 tuned graph step by step?

How to calculate AUCs for subsamples in R

Sklearn ROC AUC Score : ValueError: y should be a 1d array, got an array of shape (15, 2) instead

How to build a heatmap?

Batch predictions on GCP for custom xgb model hangs

QUESTION

How to add several binary classifiers at the end of a MLP with Keras?

Asked 2021-Jun-15 at 02:43

Say I have an MLP that looks like:

...

ANSWER

Answered 2021-Jun-15 at 02:43

In your problem you are trying to use Sequential API to create the Model. There are Limitations to Sequential API, you can just create a layer by layer model. It can't handle multiple inputs/outputs. It can't be used for Branching also.

Below is the text from Keras official website: https://keras.io/guides/functional_api/

The functional API makes it easy to manipulate multiple inputs and outputs. This cannot be handled with the Sequential API.

Also this stack link will be useful for you: Keras' Sequential vs Functional API for Multi-Task Learning Neural Network

Now you can create a Model using Functional API or Model Sub Classing.

In case of functional API Your Model will be

Assuming Output_1 is classification with 17 classes Output_2 is calssification with 2 classes and Output_3 is regression

Source https://stackoverflow.com/questions/67977986

QUESTION

Apply a multi parameter function to all data frames in a list in R

Asked 2021-Jun-14 at 02:23

I have a list of data frames each with 3 columns.

...

ANSWER

Answered 2021-Jun-11 at 16:00

Your AUC function does not seem right to me, but the sapply function takes a list as an input.

Source https://stackoverflow.com/questions/67938766

QUESTION

" samples: %r" % [int(l) for l in lengths]) ValueError: Found input variables with inconsistent numbers of samples: [219870, 0, 0]

Asked 2021-Jun-12 at 20:22

I'm trying to train some ML algorithms on some data that I collected, but I received an error for input variables with inconsistent numbers of samples. I'm not really sure what variables needs to be changed or not. I've posted my code below to give you a better understanding of what I'm trying to accomplish:

...

ANSWER

Answered 2021-Jun-12 at 12:14

The file has to be opened in binary mode.

open(DATA_FILE, 'rb')

Source https://stackoverflow.com/questions/67948722

QUESTION

Getting AUCs for several predictors and outcomes in a dataframe

Asked 2021-Jun-10 at 01:24

I want to be able to do lots of AUCs at once from the pROC package. Here is a simple dataframe with two predictors and a binary outcome and my attempt to use sapply() along with auc() and roc() from the pROC library. What am I doing wrong?

...

ANSWER

Answered 2021-Jun-10 at 01:22

You can use lapply in the following way -

Source https://stackoverflow.com/questions/67912697

QUESTION

ValueError: Number of Coefficients does not match number of features (Mglearn visualization)

Asked 2021-Jun-09 at 19:25

I am trying to perform a sentiment analysis based on product reviews collected from various websites. I've been able to follow along with the below article until it gets to the model coefficient visualization step.

https://towardsdatascience.com/how-a-simple-algorithm-classifies-texts-with-moderate-accuracy-79f0cd9eb47

When I run my program, I get the following error:

...

ANSWER

Answered 2021-Jun-09 at 19:25

You've defined feature_names in terms of the features from a CountVectorizer with the default stop_words=None, but your model in the last bit of code is using a TfidfVectorizer with stop_words='english'. Use instead

Source https://stackoverflow.com/questions/67907780

QUESTION

How to extract mlr3 tuned graph step by step?

Asked 2021-Jun-09 at 07:49

My codes in following

...

ANSWER

Answered 2021-Jun-08 at 09:22

To be able to fiddle with the models after resampling its best to call resample with store_models = TRUE

Using your example

Source https://stackoverflow.com/questions/67869401

QUESTION

How to calculate AUCs for subsamples in R

Asked 2021-Jun-08 at 19:24

I managed to calculate an overall AUC for my dataset, but now I am interested in calculating and comparing AUCs for subsamples of my dataset. Any idea as to how I can tackle this in R?

Kindly, IG

...

ANSWER

Answered 2021-May-18 at 07:16

it is very difficult to help you out without some data sample, but lets assume that you have a dataframe of some id, some predictions, and some outcome.

Then you can use dplyr to group data and perform calculations on subsets of the data. I use the package pROC to calculate the auc for the groups.

Source https://stackoverflow.com/questions/67577748

QUESTION

Sklearn ROC AUC Score : ValueError: y should be a 1d array, got an array of shape (15, 2) instead

Asked 2021-May-29 at 19:15

I have this dataset with target LULUS, it's an imbalance dataset. I'm trying to print roc auc score if I could for each fold of my data but in every fold somehow it's always raise error saying ValueError: y should be a 1d array, got an array of shape (15, 2) instead.. I'm kind of confused which part I did wrong because I do it exactly like in the documentation. And in several fold, I get it that It won't print the score if there's only one label but then it will return the second type of error about 1d array.

...

ANSWER

Answered 2021-May-29 at 19:15

Your output from model.predict_proba() is a matrix with 2 columns, one for each class. To calculate roc, you need to provide the probability of the positive class:

Using an example dataset:

Source https://stackoverflow.com/questions/67753454

QUESTION

How to build a heatmap?

Asked 2021-May-29 at 16:38

I want to build a heatmap where on Y-axis will be number of trees, on X number of leafs, and in the center auc-roc Here is my code

...

ANSWER

Answered 2021-May-29 at 16:00

You need to pivot your data into a long format, using an example dataset:

Source https://stackoverflow.com/questions/67753293

QUESTION

Batch predictions on GCP for custom xgb model hangs

Asked 2021-May-28 at 14:08

I have successfully run my model in GCP in Vertex AI but when I try to source batch predictions, it hangs.

When I run the model in my local environment, it is done in seconds. The model does take 8 minutes to calculate on GCP.

My model code is here:

...

ANSWER

Answered 2021-May-28 at 14:08

So simple answer to this appears to be that the file literally has to be saved as "model.pkl". I assumed that the name before the extension could vary but no.

I am still struggling to make a prediction be generated but it now returns the failure within 15 minutes or so

Source https://stackoverflow.com/questions/67702536

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

Vulnerabilities

No vulnerabilities reported

Install AUC

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: