DeepCopy | Simple & efficient library for deep copying .NET objects | Machine Learning library

 by   ReubenBond C# Version: Current License: MIT

kandi X-RAY | DeepCopy Summary

kandi X-RAY | DeepCopy Summary

DeepCopy is a C# library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. DeepCopy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Simple & efficient library for deep copying .NET objects. Described in this blog post:
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            kandi-support Support

              DeepCopy has a low active ecosystem.
              It has 182 star(s) with 25 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 6 have been closed. On average issues are closed in 9 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DeepCopy is current.

            kandi-Quality Quality

              DeepCopy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              DeepCopy 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

              DeepCopy releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            DeepCopy Key Features

            No Key Features are available at this moment for DeepCopy.

            DeepCopy Examples and Code Snippets

            Creates a deep copy of the Variable .
            pythondot img1Lines of Code : 34dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __deepcopy__(self, memo):
                """Perform a deepcopy of the `DistributedVariable`.
            
                Unlike the deepcopy of a regular tf.Variable, this keeps the original
                strategy and devices of the `DistributedVariable`.  To avoid confusion
                with the b  
            Deep copy of the Variable .
            pythondot img2Lines of Code : 29dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __deepcopy__(self, memo):
                """Perform a deepcopy of the `AggregatingVariable`.
            
                Unlike the deepcopy of a regular tf.Variable, this keeps the original
                strategy and devices of the `AggregatingVariable`.  To avoid confusion
                with the b  
            Deepcopy self .
            pythondot img3Lines of Code : 16dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __deepcopy__(self, memo):
                # We check the check health thread instead of whether we are in eager mode
                # to limit the backward incompatibility.
                if hasattr(self, "_check_health_thread"):
                  raise ValueError(
                      "MultiWorkerMirr  

            Community Discussions

            QUESTION

            How to calculate the f1-score?
            Asked 2021-Jun-14 at 07:07

            I have a pyTorch-code to train a model that should be able to detect placeholder-images among product-images. I didn't write the code by myself as I am very unexperienced with CNNs and Machine Learning.

            My boss told me to calculate the f1-score for that model and i found out that the formula for that is ((precision * recall)/(precision + recall)) but I don't know how I get precision and recall. Is someone able to tell me how I can get those two parameters from that following code? (Sorry for the long piece of code, but I didn't really know what is necessary and what isn't)

            ...

            ANSWER

            Answered 2021-Jun-13 at 15:17

            You can use sklearn to calculate f1_score

            Source https://stackoverflow.com/questions/67959327

            QUESTION

            rerunning agg on pandas groupby object modifies the original dataframe
            Asked 2021-Jun-09 at 09:46

            I am trying to aggregate a bunch of dictionaries, with string keys and lists of binary numbers as values, stored in a pandas dataframe. Like this:

            Example dataframe that this problem occurs with:

            ...

            ANSWER

            Answered 2021-Jun-09 at 09:46

            The issue is that merge_probe_trial_dicts mutates the original list that is in df4 instead of creating a new one.

            Just add .copy() as below and you should be good.

            Source https://stackoverflow.com/questions/67868452

            QUESTION

            Multiple duplication when using copy.deepcopy() on lxml tree
            Asked 2021-Jun-02 at 07:03

            Suppose I have an original lxml tree as following:

            my_data.xml

            ...

            ANSWER

            Answered 2021-Jun-02 at 07:03

            You are using the * operator:

            Source https://stackoverflow.com/questions/67794859

            QUESTION

            Counting all co-occurrences of a large list of nouns and verbs/adjectives within reviews
            Asked 2021-May-28 at 16:09

            I have a dataframe that contains a large number of reviews, a large list with noun words (1000) and another large list with verbs/adjectives (1000).

            Example dataframe and lists:

            ...

            ANSWER

            Answered 2021-May-28 at 16:09

            I think you may need to use a couple of libraries to make your life easier. In this example I'm using nltk and collections, apart from pandas of course:

            Source https://stackoverflow.com/questions/67740979

            QUESTION

            Using Pandas df to store User Input while using Kivy and Python
            Asked 2021-May-25 at 17:02

            I do need to store User input in a Pandas Dataframe. While launching the Programm the df should be empty. on every screen there will be a new df generated and should be added ( concat for example ) to the main df. So i need to make the df and all changes availabe as a local variable in any screen.

            ...

            ANSWER

            Answered 2021-May-25 at 17:02

            I found a nice approach using global as a workaround. I just had to add some extra code i did change on the first screen:

            Source https://stackoverflow.com/questions/67688793

            QUESTION

            Dynamic class definition with methods from multiple modules
            Asked 2021-May-25 at 06:04

            I try to create classes with quite extensive methods defined in multiple modules. I need some wrappers to ensure compatibility with other classes and cannot change my modules greatly. Here is an attempt of a minimal example:

            Let my (many) modules be something like:

            ...

            ANSWER

            Answered 2021-May-24 at 20:28

            Nothing to do with Cython. In these kind of cases it's worth testing with plain Python as well (i.e. "minimizing" your minimum reproducible example).

            Source https://stackoverflow.com/questions/67673908

            QUESTION

            How to implement tree made from possible moves in game Othello (Reversi)
            Asked 2021-May-23 at 09:44

            I need help with making tree from possible moves in game Othello, on which I will later use MiniMax algorithm. Game is played in Player vs AI mode and I am always "1" on board and AI is always "2" on board. This is how my current function for getting best move for AI looks like:

            ...

            ANSWER

            Answered 2021-May-23 at 09:44

            You would need your recursive function to return a TreeNode instance, not a Tree instance. The top level call will then return the root node, which should then be assigned to the root attribute of a single Tree instance.

            I would also suggest creating an Edge class, so you can store the information about the move that was played in the parent board in order to get to the child board.

            If I understand correctly you want to separate the minimax/alphabeta algorithm from the actual game rules, and first create the tree of states (specific to the game), and then feed that to a generic minimax/alphabeta algorithm which can then be ignorant about the game rules, and just focus on the information in the tree.

            Here is an idea for an implementation:

            Source https://stackoverflow.com/questions/67656502

            QUESTION

            If statement variables
            Asked 2021-May-22 at 10:29

            So I've been trying to make this turn-based battle and I ran into a slight issue. I can't seem to use the variables that are defined within the if statement. I tried declaring them global but that didn't work. Is there any way to solve this problem while still using if statements?

            Here the code that I'm having issues with:

            ...

            ANSWER

            Answered 2021-May-22 at 10:29

            You're trying to access a variable before it's been declared. You've got if spawn == "mandrake": before you declare spawn, move spawn = "mandrake" above the if statement.

            Source https://stackoverflow.com/questions/67647239

            QUESTION

            Dask dataframe compute failed
            Asked 2021-May-22 at 05:17

            I'm playing around with Python Dask. I followed their dataframe example jupyter notebook but failed at the step when converting a dask dataframe to pandas data frame by calling the compute() function. Would anyone please advise what I did wrong?

            Code:

            ...

            ANSWER

            Answered 2021-May-22 at 05:17

            Interesting, I can reproduce this bug with:

            Source https://stackoverflow.com/questions/67645088

            QUESTION

            cs50 python tictactoe minimax algorithm
            Asked 2021-May-21 at 04:29

            I am currently doing this problem in cs50 AI where we need to make a minimax algorithm for playing tictactoe. My algorithm doesn't work at all (it is really easy to beat the computer) and I was wondering what I was doing wrong. I am also pretty sure that all my other functions are correct and that only the minimax function is incorrect. Would really appreciate any help, thank you all!

            ...

            ANSWER

            Answered 2021-May-21 at 04:29

            You seem to have lots of unnecessary functions and your minimax code looks way too complicated than it needs to be. Basically you need 4 main functions for your game:

            • Minimax itself
            • Get all possible moves from a position (unless you want to do the loop inside minimax)
            • Determine if a player has won
            • Determine if board is full

            Also, have you looked at the pseudo code for minimax from e.g. Wikipedia? :

            Source https://stackoverflow.com/questions/67614448

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

            Vulnerabilities

            No vulnerabilities reported

            Install DeepCopy

            You can download it from GitHub.

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