abalon | Various utility functions for Hadoop , Spark etc

 by   Tagar Python Version: v2.3.3 License: Apache-2.0

kandi X-RAY | abalon Summary

kandi X-RAY | abalon Summary

abalon is a Python library typically used in Big Data, Spark, Hadoop applications. abalon has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Various utility functions for Hadoop, Spark etc.
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              abalon has a low active ecosystem.
              It has 4 star(s) with 4 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of abalon is v2.3.3

            kandi-Quality Quality

              abalon has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              abalon is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              abalon releases are available to install and integrate.
              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 abalon and discovered the below as its top functions. This is intended to give you an instant insight into abalon implemented functionality, and help decide if they suit your requirements.
            • Write a dataframe to an hdfs file
            • Perform HDFS merge operation
            • Swap string to dst_file
            • Delete a file
            • Check if a file exists
            • Rename a HDFS file
            • Load data from a csv file
            • Partition a pandas dataframe
            • Zips a DataFrame with a given offset
            • Spark a dataframe
            • Performs a pivot operation on a Pandas DataFrame
            • Return a spark object
            • Aggregate a Pandas DataFrame
            Get all kandi verified functions for this library.

            abalon Key Features

            No Key Features are available at this moment for abalon.

            abalon Examples and Code Snippets

            No Code Snippets are available at this moment for abalon.

            Community Discussions

            QUESTION

            Regex match if all characters in a dictionary word are present in the phrase. The number of times each character occurs must also match in each other
            Asked 2021-Mar-18 at 01:13

            I'm writing a recursive backtracking search to find anagrams for a phrase. For the first step, I'm trying to filter out all the wrong words from a dictionary before I feed it to the recursive algorithm.

            The dictionary file looks like this:

            ...

            ANSWER

            Answered 2021-Mar-17 at 23:15

            A regex is the wrong tool for comparing character counts. Any regex that satisfies this requirement is likely to be awkward and terribly inefficient. You will be far better off traversing each word and keeping track of the individual character counts.

            Anyway, here is a method for constructing a regex that matches the "wrong words" (the other way around is much harder): First, from the set of distinct characters {a1,...,aN} contained in the phrase, you can match all words containing any illegal character with [^a1,...,aN]. Then, for each character c that appears n times in your target string, build a sub-expression (.*c.*){n+1}, then join these fragments with |. For clint eastwood you should get:

            Source https://stackoverflow.com/questions/66682063

            QUESTION

            Why is my neural network accuracy so low?
            Asked 2021-Mar-05 at 03:03

            I am new to machine learning and have been getting myself to learn neural networks. This week I've tried coding a neural network using this dataset. https://archive.ics.uci.edu/ml/datasets/abalone

            The dataset contains details of individual abalones such as their size, gender, etc. My goal with this dataset is to predict the ages of abalone. This could be done by multiplying the rings of abalone by 1.5 as the dataset also reveals how one ring contributes to around 1.5 years of age. Therefore, my goal is to use a neural network to predict the number of rings an abalone has. That way, I will know its age as well.

            I decided to have 4 layers with 300 nodes in the hidden layer and 1 in the output. Here is my code:

            ...

            ANSWER

            Answered 2021-Mar-05 at 00:25

            I think the issue might be the following: From your description of the problem you are trying to perform a regression task, i.e. predicting the age of the abalones. The age could in theory be any positive real number. Therefore, the accuracy metric you are using here is unsuited to the task, since it is used for classification tasks, that is, when the output belongs to one of a fixed and discrete set of possibilities. Therefore I would suggest using a different metric to measure your model results, such as Mean Squared Error or Mean Absolute Error, which are suitable for regression.

            Also, note that while your metric (accuracy) has a value of 0, your loss function is decreasing with each epoch, which shows your model is improving :)

            Source https://stackoverflow.com/questions/66484858

            QUESTION

            How to compare columns from two different Data Frames and keep the values from the first Data Frame?
            Asked 2021-Jan-25 at 23:54

            I have two dataframes of different sizes. They both have four columns: Words, x, y and z.

            However, when joining these two dataframes, I want to keep the values of x, y, z of the words that are similar. The words that doesn't exist in df1 but exist in df2 are kept.

            I tried to use pd.merge but this will keep the two values and only similar words. And if I use pd.concat I have to drop similar elements, but will not be from the first data frame.

            Sample ...

            ANSWER

            Answered 2021-Jan-25 at 23:33

            You can use df.append to append df1 to df2, followed by drop_duplicates, with keep='last', then sort_index and reset_index:

            Source https://stackoverflow.com/questions/65893739

            QUESTION

            Updating Mongoose Object
            Asked 2020-Oct-06 at 23:42

            I have 2 MongoDB Collections: crystals & cleanses

            Crystal Schema:

            ...

            ANSWER

            Answered 2020-Oct-06 at 23:42

            Updated the return Object.assign() to get the correct results:

            Source https://stackoverflow.com/questions/64232089

            QUESTION

            replace every item in a list with their previous item?
            Asked 2020-Jul-05 at 23:30

            For example,

            ...

            ANSWER

            Answered 2020-Jul-05 at 22:34

            QUESTION

            Issue implementing XGBoost Regressor
            Asked 2020-Mar-28 at 12:17

            I'm a beginner in Machine Learning and was trying to work with Abalone dataset. I tried to predict the age of the abalones (refer this for the dataset). I ran an XGBoost Regressor and the code worked fine when I implemented the following:

            ...

            ANSWER

            Answered 2020-Mar-28 at 12:17

            Try changing this line

            model.fit(X_train,y_train, early_stopping_rounds=5, eval_set=([X_test,y_test]))

            to

            model.fit(X_train,y_train, early_stopping_rounds=5, eval_set=[(X_test,y_test)]

            Your updated code which runs without error:

            Source https://stackoverflow.com/questions/60892335

            QUESTION

            Errors when opening arff file into weka
            Asked 2020-Feb-21 at 21:33

            Whenever opening this file in weka constantly receive errors 'not recognised as an 'Arff data files' file. Reason: number expected, read Token[M], line 16. However whenever I try to rectify an error another would pop up. New to this and so would anyone know where I seem to be making the mistake. Appreciate the help.

            ...

            ANSWER

            Answered 2020-Feb-21 at 21:33

            You have 10 attribute lines, but only 9 attributes in your data.

            Also, in your data the codes are M, F, I but you have indicated they are Male, Female, Infant in your attribute statement.

            I'm guessing that you think you are just assigning class to sex, but the class variable in Weka is automatically the last variable. I've rearranged this for you below and verified that it will load properly.

            Source https://stackoverflow.com/questions/60320581

            QUESTION

            how i can change column values in a data frame in python
            Asked 2019-Nov-01 at 04:36

            How can I change values of age column if age <=8 replace small age >8 and age <12 replace medium age >12 replace large.

            ...

            ANSWER

            Answered 2019-Nov-01 at 04:36

            this can be done by replacing values first and then mapping them with the actually needed values :

            Source https://stackoverflow.com/questions/58634797

            QUESTION

            I want to do random sampling from a dataset using Bagging. And use that dataset in further analysis. How can I do that?
            Asked 2019-Oct-23 at 05:23

            At first I want to do sampling in dataset using bagging. After that I will use back propagation algorithm for training and testing. Suppose I will select randomly 40% data from the dataset to create 1 sample set. After that I will take again 40% data form the total dataset and create another dataset.

            Code for sampling:

            ...

            ANSWER

            Answered 2019-Oct-23 at 05:23

            if you want to make 20 samples of a dataset , u can use pandas.DataFrame.sample and store each of the samples to dictionary.

            Source https://stackoverflow.com/questions/58515748

            QUESTION

            *ngFor iterate through array containing objects
            Asked 2019-Oct-07 at 15:48

            gemItems:

            ...

            ANSWER

            Answered 2019-Oct-07 at 15:48

            Use double quotes around your ngFor in order to work:

            Source https://stackoverflow.com/questions/58264689

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

            Vulnerabilities

            No vulnerabilities reported

            Install abalon

            You can download it from GitHub.
            You can use abalon 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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            https://github.com/Tagar/abalon.git

          • CLI

            gh repo clone Tagar/abalon

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            git@github.com:Tagar/abalon.git

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