predictor | efficient recommendations and predictions using Redis

 by   nyagato-00 Ruby Version: v2.4.0 License: MIT

kandi X-RAY | predictor Summary

kandi X-RAY | predictor Summary

predictor is a Ruby library. predictor has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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              predictor has a low active ecosystem.
              It has 473 star(s) with 38 fork(s). There are 29 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 8 open issues and 21 have been closed. On average issues are closed in 36 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of predictor is v2.4.0

            kandi-Quality Quality

              predictor has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              predictor is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              predictor releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed predictor and discovered the below as its top functions. This is intended to give you an instant insight into predictor implemented functionality, and help decide if they suit your requirements.
            • Add an item to the set
            • Convenience method for calculating the coefficient coefficient of the coefficient coefficient .
            • delete item from set
            • Get the prefix prefix
            • Index the given key index
            • Remove an item from a set
            • Modifies the similarity with the given options .
            • Set the input inputs to a hash
            • Set the technique
            • Registers a redis prefix to redis
            Get all kandi verified functions for this library.

            predictor Key Features

            No Key Features are available at this moment for predictor.

            predictor Examples and Code Snippets

            Predictor function .
            pythondot img1Lines of Code : 18dot img1License : Permissive (MIT License)
            copy iconCopy
            def sarimax_predictor(train_user: list, train_match: list, test_match: list) -> float:
                """
                second method: Sarimax
                sarimax is a statistic method which using previous input
                and learn its pattern to predict future data
                input : tra  

            Community Discussions

            QUESTION

            Why I am retrieving high value loss for neural network regression
            Asked 2021-Jun-14 at 13:45

            I have data in the following format consisting of 80 instances. I need to predict two-parameter latency and accuracy

            ...

            ANSWER

            Answered 2021-Jun-14 at 13:45

            You have very less data, just 2 columns, 80 rows and 2 target variables. All you can do is:

            1. Add more data.
            2. Normalize your data and then feed it to the neural network.
            3. If neural network not giving good accuracy, try Random Forest or XGBoost.

            I also want to add one thing that is your neural network architecture is wrong. Dense layer with 2 outputs and a softmax activation isn't going to give you good result here. You have to use TensorFlow's Funtional API and make 1 input 2 output neural network architecture.

            Source https://stackoverflow.com/questions/67970580

            QUESTION

            Keras model not compiling
            Asked 2021-Jun-14 at 07:01

            I am trying to build a Keras model for a classification model and I get and error while I am trying to fit the data.

            ValueError: Shapes (None, 99) and (None, 2) are incompatible

            Code:

            ...

            ANSWER

            Answered 2021-Jun-14 at 07:01

            The no. of units in the last Dense layer must match the dimensionality of the outputs.

            Source https://stackoverflow.com/questions/67964504

            QUESTION

            Error failed to convert a NumPy array to a Tensor
            Asked 2021-Jun-14 at 02:18

            I have the data in the following format. I am using a neural network to predict three parameters downtime, latency and accuracy using neural network regression.

            ...

            ANSWER

            Answered 2021-Jun-14 at 00:47

            I can't run your code so I created something similar and I get this error when pre_norms has values NaN.

            I get pre_norms with NaN because predictors has columns No_Model,Technique which have strings and predictors-predictors.mean()/predictors.std()) convert them to NaN

            Solution could be removing columns No_Model,Technique but this create empty data - so it is useless.

            I don't know you full code but you should check what you have in variables and if you have NaN then you have wrong calculations.

            Source https://stackoverflow.com/questions/67962668

            QUESTION

            How to create a list with the y-axis labels of a TreeExplainer shap chart?
            Asked 2021-Jun-10 at 17:29

            How to create a list with the y-axis labels of a TreeExplainer shap chart?

            Hello,

            I was able to generate a chart that sorts my variables by order of importance on the y-axis. It is an impotant solution to visualize in graph form, but now I need to extract the list of ordered variables as they are on the y-axis of the graph. Does anyone know how to do this? I put here an example picture.

            Obs.: Sorry, I was not able to add a minimal reproducible example. I don't know how to paste the Jupyter Notebook cells here, so I've pasted below the link to the code shared via Github.

            In this example, the list would be "vB0 , mB1 , vB1, mB2, mB0, vB2".

            minimal reproducible example

            ...

            ANSWER

            Answered 2021-Jun-09 at 16:36

            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

            Implementing Longitudinal Random Forest with LongituRF package in R
            Asked 2021-Jun-09 at 21:44

            I have some high dimensional repeated measures data, and i am interested in fitting random forest model to investigate the suitability and predictive utility of such models. Specifically i am trying to implement the methods in the LongituRF package. The methods behind this package are detailed here :

            Capitaine, L., et al. Random forests for high-dimensional longitudinal data. Stat Methods Med Res (2020) doi:10.1177/0962280220946080.

            Conveniently the authors provide some useful data generating functions for testing. So we have

            ...

            ANSWER

            Answered 2021-Apr-09 at 14:46

            When the function DataLongGenerator() creates Z, it's a random uniform data in a matrix. The actual coding is

            Source https://stackoverflow.com/questions/66188123

            QUESTION

            Change the levels of the categorical predictor in glm in R
            Asked 2021-Jun-09 at 12:29

            I have a predictor variable called "Group", this group has 3 categories (ALTO, MEDIO, BAJO). In my glm for binomial family, the summary shows the intercept + BAJO and MEDIO, but I need to see in my tab_model only ALTO and MEDIO and let BAJO as intercept. Is there any way to change this setting?

            ...

            ANSWER

            Answered 2021-Jun-09 at 12:29

            You can use the relevel() function to specify which level of the factor is the reference level. Assuming the variable Grupo is already a factor, this should work:

            Source https://stackoverflow.com/questions/67904038

            QUESTION

            R bygroup mice imputation - mice.impute.bygroup
            Asked 2021-Jun-09 at 10:25

            I would like to group my data by state_id and species when I run mice::mice to impute values. I've got it grouped by state_id and results are looking much better than without the bygroup.

            mice.impute.bygroup: Groupwise Imputation Function

            Edit... improved, working code:

            ...

            ANSWER

            Answered 2021-Jun-09 at 10:25

            You shouldn't use mice.impute.bygroup directly. It is a function that gets called when you specify method["x"] <- "bygroup", just like you call mice.impute.norm.predict with "norm.predict" (see ?mice.impute.norm.predict).

            Below is some example code on how to use bygroup.

            Sample data

            Source https://stackoverflow.com/questions/67888945

            QUESTION

            show r squared, aic, bic, and deviance for multiple models using gtsummary
            Asked 2021-Jun-08 at 21:54

            looking to have the r squared, aic, bic, and deviance values presented for each of the four models here in the merged output

            ...

            ANSWER

            Answered 2021-Jun-08 at 21:54

            The add_glance_source_note() function adds the statistics as a source note, and the table may only have one source note. Use the add_glance_table() function to add the statistics to the bottom of the table, and you'll be able to merge the tables without issue. Example below!

            Source https://stackoverflow.com/questions/67894577

            QUESTION

            Running Python file from C# Windows Form
            Asked 2021-Jun-08 at 10:52

            So I tried the methods that were mentioned in the previously asked similar question but none of them works for my python file. I have been on it for two days and can't seem to find a solution how to run this file from C# form on button click.

            IronPython doesn't work because the python script has libraries that cannot be imported in Ironpython.

            Running it from cmd doesn't work because cmd starts and then gets closed in a second.

            Here's the code:

            ...

            ANSWER

            Answered 2021-Jun-08 at 10:52

            install your libraries in "C:\Program Files\Python39\python.exe" or any python environment

            and try this:

            Source https://stackoverflow.com/questions/67745760

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

            Vulnerabilities

            No vulnerabilities reported

            Install predictor

            First step is to configure Predictor with your Redis instance.

            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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            https://github.com/nyagato-00/predictor.git

          • CLI

            gh repo clone nyagato-00/predictor

          • sshUrl

            git@github.com:nyagato-00/predictor.git

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