crowdflower | Code for the Kaggle crowdflower competition | Dataset library

 by   TimDettmers Python Version: Current License: No License

kandi X-RAY | crowdflower Summary

kandi X-RAY | crowdflower Summary

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

Code for the Kaggle crowdflower competition
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            kandi-support Support

              crowdflower has a highly active ecosystem.
              It has 14 star(s) with 8 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              crowdflower has no issues reported. There are no pull requests.
              It has a positive sentiment in the developer community.
              The latest version of crowdflower is current.

            kandi-Quality Quality

              crowdflower has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              crowdflower 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

              crowdflower releases are not available. You will need to build from source code and install.
              crowdflower has no build file. You will be need to create the build yourself to build the component from source.
              crowdflower saves you 230 person hours of effort in developing the same functionality from scratch.
              It has 562 lines of code, 40 functions and 3 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed crowdflower and discovered the below as its top functions. This is intended to give you an instant insight into crowdflower implemented functionality, and help decide if they suit your requirements.
            • Main function .
            • Perform hyperparameter fitting
            • Evaluate evolution .
            • Plot the error bar plot .
            • Lemmatize a document .
            • Initialize the stemmer .
            Get all kandi verified functions for this library.

            crowdflower Key Features

            No Key Features are available at this moment for crowdflower.

            crowdflower Examples and Code Snippets

            No Code Snippets are available at this moment for crowdflower.

            Community Discussions

            QUESTION

            lemmetization issue using Spacy in pandas Series and Dataframe
            Asked 2019-Nov-14 at 09:30

            I am working on text data having shape of (14640,16) using Pandas and Spacy for preprocessing but having issue in getting lemmetized form of text. Moreover, if I work with pandas series (i.e dataframe with one column) which contain only text column there are different issue with that also.

            Code:(Dataframe)

            ...

            ANSWER

            Answered 2019-Nov-14 at 09:30
            #you can directly get your lemmatized token by running list comprehension in your lambda function  
            
            df['parsed_tweets'] = df['text'].apply(lambda x: [y.lemma_ for y in  nlp(x)])
            

            Source https://stackoverflow.com/questions/58843519

            QUESTION

            Using nlp.pipe() in Spacy to get doc objects for Dataframe column
            Asked 2019-Nov-14 at 09:06

            I am using Spacy nlp.pipe() for getting doc objects for text data in pandas Dataframe column but the parsed text returned as "text" in the code has length of only 32. However, the shape of dataframe is (14640, 16). Here is the data link if someone wants to read the data.

            Code:

            ...

            ANSWER

            Answered 2019-Nov-14 at 09:06

            According to the Spacy Documentation of Doc object here, the __len__ operator gets "the number of tokens in the document.".

            The last text in your data is:

            Source https://stackoverflow.com/questions/58841995

            QUESTION

            How to get rid of warning "DeprecationWarning generator 'ngrams' raised StopIteration"
            Asked 2018-Nov-19 at 11:42

            While working on a Kaggle notebook I ran into an issue. The following code block:

            ...

            ANSWER

            Answered 2017-Oct-05 at 22:32

            To anyone else who doesn't want or can't suppress the warning.

            This is happening because ngrams is raising StopIteration exception to end a generator, and this is deprecated from Python 3.5.

            You could get rid of the warning by changing the code where the generator stops, so instead of raising StopIteration you just use Python's keyword return.

            More on: PEP 479

            Source https://stackoverflow.com/questions/43617399

            QUESTION

            Error in Keras while doing Multi-class classification
            Asked 2018-Feb-26 at 14:40

            I am trying to do Multi-class classification in Keras. I am using the crowdflower dataset.Here is my code below:

            ...

            ANSWER

            Answered 2018-Feb-26 at 14:40

            You are making multiple mistakes in that code and I will suggest some improvements to make the code better:

            1. remove: for i,row in df.iterrows(): you can directly use

            Source https://stackoverflow.com/questions/48988309

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

            Vulnerabilities

            No vulnerabilities reported

            Install crowdflower

            You can download it from GitHub.
            You can use crowdflower 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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