summarization | implementation of summarization algorithm by python | Learning library

 by   tagucci Python Version: Current License: No License

kandi X-RAY | summarization Summary

kandi X-RAY | summarization Summary

summarization is a Python library typically used in Tutorial, Learning, Example Codes applications. summarization has no bugs, it has no vulnerabilities and it has low support. However summarization build file is not available. You can download it from GitHub.

Graph based summarization algorithm by [Erkan and Radev, 2004].
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            kandi-support Support

              summarization has a low active ecosystem.
              It has 3 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              summarization has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of summarization is current.

            kandi-Quality Quality

              summarization has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              summarization 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

              summarization releases are not available. You will need to build from source code and install.
              summarization has no build file. You will be need to create the build yourself to build the component from source.
              It has 115 lines of code, 6 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed summarization and discovered the below as its top functions. This is intended to give you an instant insight into summarization implemented functionality, and help decide if they suit your requirements.
            • Test the test
            • Compute lexrank of sentences
            • Creates lexrank graph from similarity matrix
            • Calculate the cosine coefficient
            • Calculates the idf of a set of sentences
            • Calculates the cosine matrix of modified sentences
            Get all kandi verified functions for this library.

            summarization Key Features

            No Key Features are available at this moment for summarization.

            summarization Examples and Code Snippets

            No Code Snippets are available at this moment for summarization.

            Community Discussions

            QUESTION

            Azure Data Explorer (Kusto/KQL) Financial Asset Backtesting Trail Stop
            Asked 2022-Mar-16 at 20:24

            I have a data set of financial asset prices over time and I'd like to mimic a trail stop for back testing strategies against this data set.

            Trail stops are a type of trade order supported by some online brokers that are used as a stop loss or profit protection when opening a position, a trail stop is placed to automatically stop loss when a price condition is met.

            The trail stop order will follow an asset price as it increases, and stay at the max during the time the position is open, once the asset price falls below the trail stop max, the position will be closed by the broker.

            In this case the trail stop is a percentage of asset price. i.e. asset price less 3%.

            I've tried a number of approaches, including summarization and the scan operator, and can't seem to land on a working prototype.

            Below is an example data table of an asset with price changes over time.

            ...

            ANSWER

            Answered 2022-Mar-16 at 20:24

            Investopedia for a good explanation about trailing stop

            • Order by position & timestamp
            • Use prev() to identify the starting of a new position.
            • Use scan() to calculate running max of CallPremium (always goes up, resets for a new position).
            • Compare each CallPremium to the running max and check if trailing stop achieved.

            Source https://stackoverflow.com/questions/71501098

            QUESTION

            Overwriting hydra configuration groups from CLI
            Asked 2022-Mar-11 at 13:46

            I am trying to overwrite from the CLI a group of parameters and I am not sure how to do it. The structure of my conf is the following

            ...

            ANSWER

            Answered 2022-Mar-11 at 13:46

            You can't override default list entries in this form. See this. In particular:

            Source https://stackoverflow.com/questions/71438040

            QUESTION

            grouped summarize still gives result for each individual row
            Asked 2022-Mar-10 at 13:21

            I have the following data:

            ...

            ANSWER

            Answered 2022-Mar-10 at 13:10

            Because, case_when similar to ifelse(test, x, y) will return a vector of the same length as test. all(x == z) has length 1 and so the returned valued is of length 1.

            Source https://stackoverflow.com/questions/71424478

            QUESTION

            Taking Different Functions for Different Columns
            Asked 2022-Feb-02 at 23:55

            I've the following dataset.

            ...

            ANSWER

            Answered 2022-Feb-02 at 23:51

            Yeah, agg doesn't support using lists to determine which columns to apply an aggregation to, and dicts don't support lists as keys. If you use some list-comprehension magic you can, though:

            Source https://stackoverflow.com/questions/70961254

            QUESTION

            Pytorch Index Error ('index out of range in self'): How to Solve?
            Asked 2022-Jan-10 at 05:17

            I recently encountered a roadblock following a deep learning tutorial on youtube (entire code can be found here). I'm having a problem with part 4.4. The goal is to return a dictionary of article summaries for certain stocks (their tickers are in a list: monitered_tickers).

            ...

            ANSWER

            Answered 2022-Jan-10 at 05:17

            Your article length might exceed the model max input length. Use:

            Source https://stackoverflow.com/questions/70647743

            QUESTION

            exact_extract throws error "Error in .num_expected_args(fun) : 'list' object cannot be coerced to type 'double'"
            Asked 2022-Jan-07 at 23:52

            I am trying to use the exact_extract() function of the exactextractr:: package to give me the percent area of a polygon covered by each class of a classified raster. However, I am getting a cryptic error message "Error in .num_expected_args(fun) : 'list' object cannot be coerced to type 'double'." The error seems to be saying that all of the coverage fraction values are stored in a list, and the summarization routine is trying to convert it to a double-precision datatype. The only thing I can think of is that perhaps this is a bug in the exact_extract() function. Any guidance would be much appreciated. Below is my reproducible example to illustrate the issue:

            ...

            ANSWER

            Answered 2022-Jan-07 at 23:52

            It turns out that I am just an idiot. exact_extract() expects the functions to be quoted because they are run internally and not taken from the external functions. This solved the issue entirely:

            Source https://stackoverflow.com/questions/70627751

            QUESTION

            HuggingFace API and ReactJS For Summary
            Asked 2021-Dec-10 at 22:05

            I'm trying to make a call to the large-bert model to do a summary task but the response is always the same generic "CNN.com will feature iReporter photos in a weekly Travel Snapshots gallery. Please submit your best shots of the U.S. for next week. Visit CNN.com/Travel next Wednesday for a new gallery of snapshots. Please share your best photos of the United States with CNN iReport." Which has nothing to do with my test input from wikipedia. I tried modeling my code off of "https://api-inference.huggingface.co/docs/node/html/detailed_parameters.html#summarization-task" which is more specific to nodeJS but I figured should be very similar.

            I was wondering if there was an explanation. Am I missing some input or passing the data wrong?

            The following is the attempted code

            ...

            ANSWER

            Answered 2021-Dec-10 at 22:05
            const response = await fetch(
                  "https://api-inference.huggingface.co/models/facebook/bart-large-cnn",
                  {
                      headers: { Authorization: `Bearer ${API_TOKEN}` },
                      method: "POST",
                      body: JSON.stringify(script),
                  }
                );
                const result = await response.json();
            

            Source https://stackoverflow.com/questions/70299537

            QUESTION

            How to view the changes in a huggingface model after training?
            Asked 2021-Nov-13 at 07:01

            I trained a BART model (facebook-cnn) for summarization and compared summaries with a pretrained model

            ...

            ANSWER

            Answered 2021-Nov-13 at 07:01

            You can compare state_dict of the models. I.e. model.state_dict() and model_before_tuning_1.state_dict().

            State_dict contains learnable parameters that change during traning. For further details see: https://pytorch.org/tutorials/recipes/recipes/what_is_state_dict.html

            Otherwise, printing the models or model config gives you the same results because the architecure does not change during training.

            Source https://stackoverflow.com/questions/69893568

            QUESTION

            How would I conditionally format the font color for an unsummarized field in Power BI?
            Asked 2021-Oct-28 at 17:18

            I have a numeric field in my data source that is unsummarized. There is no aggregation on this field.

            • I would like to format this field to use a red font color whenever the field value is greater than or equal to 100.

            • Otherwise, I would like the font color unaltered.

            I cannot seem to find a way to do this in the Power BI Conditional Formatting dialogs.

            If I try:

            Format By: Field Value

            Apply To: Values Only

            I cannot select the field in the Based on field. It is grayed out.

            If I try:

            Format By: Rules

            Based of Field:

            It immediately plugs a 'Count of ' aggregation qualifier on the field. There is no way to turn off the summarization.

            I simply want to use a red font color if a field value is greater than or equal to 100. Is there any way to do this in Power BI?

            ...

            ANSWER

            Answered 2021-Oct-28 at 17:18

            Unless you are using your field as a dimension (e.g. row/column header or the x-axis on a chart), it's pretty much always going to be aggregated (summarized) inside the visual, even if it only has a single value. If you have a single value, then MAX, MIN, SUM, AVERAGE should all return the same value and you can use any of them as your summarization.

            The automatic summarization of a field is called an "implicit measure". You generally have more control writing your own explicit measures. For times when I know that I only want a single value, I tend to write explicit measures like this

            Source https://stackoverflow.com/questions/69757252

            QUESTION

            How to turn summarized product into chart
            Asked 2021-Oct-07 at 20:15

            I am very new to R and have learned only the basics. I have created this code, which works fine, but I'd like to turn this into a chart:

            ...

            ANSWER

            Answered 2021-Oct-07 at 20:15

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

            Vulnerabilities

            No vulnerabilities reported

            Install summarization

            You can download it from GitHub.
            You can use summarization 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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