autotune | AutoTune for Composer - For PHP Library Developers | Build Tool library

 by   linkorb PHP Version: v1.2.0 License: MIT

kandi X-RAY | autotune Summary

kandi X-RAY | autotune Summary

autotune is a PHP library typically used in Utilities, Build Tool, Composer, Drupal applications. autotune has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

AutoTune for Composer - For PHP Library Developers
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            kandi-support Support

              autotune has a low active ecosystem.
              It has 17 star(s) with 0 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              autotune has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of autotune is v1.2.0

            kandi-Quality Quality

              autotune has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              autotune 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

              autotune releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              autotune saves you 34 person hours of effort in developing the same functionality from scratch.
              It has 93 lines of code, 6 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed autotune and discovered the below as its top functions. This is intended to give you an instant insight into autotune implemented functionality, and help decide if they suit your requirements.
            • Configure the autoloader .
            • Get the config filename
            • Get the configuration .
            • Fix the path to make sure it exists
            • Initializes the autoloader
            • Set the base path
            Get all kandi verified functions for this library.

            autotune Key Features

            No Key Features are available at this moment for autotune.

            autotune Examples and Code Snippets

            No Code Snippets are available at this moment for autotune.

            Community Discussions

            QUESTION

            App crashing while working with class and not going to catch
            Asked 2021-Jun-10 at 11:17

            In my AppDelegate.m, I am doing something like this

            ...

            ANSWER

            Answered 2021-Jun-10 at 07:22

            You're using assign for reference/pointer types: @property retain, assign, copy, nonatomic in Objective-C

            They should probably be declared copy, because this is a kind of value object, I think.

            No exceptions were caught because no exceptions were thrown. Throwing/catching exceptions for control flow is not common in Objective-C

            You don't need to write explicit setter functions for @properties

            You should prefer to use BOOL type instead of Boolean, with values of YES/NO instead of true/false.

            You should return instancetype not id from init, at least in reasonably modern Objective C

            Consider making an initialiser that takes all the properties (initWithRoomName:clientID:) and make them read only once set

            You don't need to declare -(id) init in your header since it gets that from NSObject

            Source https://stackoverflow.com/questions/67916333

            QUESTION

            How to extract mlr3 tuned graph step by step?
            Asked 2021-Jun-09 at 07:49

            My codes in following

            ...

            ANSWER

            Answered 2021-Jun-08 at 09:22

            To be able to fiddle with the models after resampling its best to call resample with store_models = TRUE

            Using your example

            Source https://stackoverflow.com/questions/67869401

            QUESTION

            Get samples rom TF dataset
            Asked 2021-Jun-08 at 12:32

            I have a TF dataset

            ...

            ANSWER

            Answered 2021-Jun-08 at 12:32

            You could use tf.data.Dataset.shard.

            Creates a Dataset that includes only 1/num_shards of this dataset.

            shard is deterministic. The Dataset produced by A.shard(n, i) will contain all elements of A whose index mod n = i.

            Source https://stackoverflow.com/questions/67886584

            QUESTION

            Tensorflow image crop from bounding box
            Asked 2021-May-21 at 09:45

            I am using the stanford dog dataset to do some image classification, loading with the following command.

            ...

            ANSWER

            Answered 2021-May-21 at 09:45

            tf.data.Dataset default to graph mode for performance reasons. In graph mode, you can't do tuple unpacking. You should use tf.unstack instead.

            Note that your dataset has a variable number of bounding boxes. You can either consider only one bounding box per image, or write a preprocess function that is agnostic to the number of bounding boxes.

            Note also that the bounding boxes of your dataset are normalized between 0 and 1, while tf.image.crop_to_bounding_box expects its coordinates (or offset) to be ints, with the format (top, left, height, width)

            I would suggest to skip the tuple unpacking and to use tf.image.crop_and_resize instead, that handle an arbitrary number of boxes per image.

            Fixing your approach:

            This method will handle just 1 bounding box per image.

            Source https://stackoverflow.com/questions/67629889

            QUESTION

            How to monitor accuracy with CTC loss function and Datasets? (runnable code included)
            Asked 2021-May-19 at 20:37

            I've been trying to speed up training of my CRNN network for optical character recognition, but I can't get the accuracy metric working when using TFRecords and tf.data.Dataset pipelines. I previously used a Keras Sequence and had it working. Here is a complete runnable toy example showing my problem (tested with Tensorflow 2.4.1):

            ...

            ANSWER

            Answered 2021-May-17 at 09:45

            There probably some issue with [accuracy] with tf.data, but I'm not super sure if this is the main cause in your case or if the issue still exits. If I try as follows, it runs anyway without Sequence (with tf.data).

            Source https://stackoverflow.com/questions/67506106

            QUESTION

            How to keep the shape of tf.dataset after applying map?
            Asked 2021-May-18 at 10:30

            I'm creating a tf.dataset object containing 2 images as inputs and a mask as target. All of them are 3D. After applying a custom map, the shape of the object changes from to , , ), types: (tf.float32, tf.float32, tf.int32)>, and when I fit the data, my model throws an error because it only detects one input instead of 2. Here is what I'm doing:

            ...

            ANSWER

            Answered 2021-May-18 at 10:30

            I have managed to solve this problem by "flattening" (eliminating the parenthesis) the return of the random_crop_flip, and applying another map on top of them, where I specified the shapes and returned my desired structure (x ,y), z:

            Source https://stackoverflow.com/questions/67573468

            QUESTION

            How be sure on_epoch_end triggers
            Asked 2021-May-14 at 07:24

            I made a simple HDF5 reader class to avoid loading entire dataset in memory. I used sequence class to do so, but I'm not sure if on_epoch_end() function will trigger correctly.

            I put a single print inside it, but it never appear! So I think there is something wrong in my code:

            ...

            ANSWER

            Answered 2021-May-14 at 07:24

            Since seems to be a TF bug, I found a workaround to trigger on_epoch_end() of my generator.

            Source https://stackoverflow.com/questions/67182474

            QUESTION

            tf.image.decode_jpeg often taking forever to load file
            Asked 2021-May-12 at 05:20

            The following code is part of my code for a tf graph to read images. When I use this code to iterate through the data, the program gets stuck in tf.io.read_file(path) after a few hundred images forever and doesn't do anything. More specifically, the code even can't be paused and I had to restart the session every time.

            ...

            ANSWER

            Answered 2021-May-12 at 05:20

            As mentioned in the comment, try the following function to decode the image file as it can handle mixed extension file format (jpg, png etc), ref.

            Source https://stackoverflow.com/questions/67226923

            QUESTION

            Invalid argument: Dimension -972891 must be >= 0
            Asked 2021-Apr-29 at 20:06

            I have created a data pipeline using tf.data for speech recognition using the following code snippets:

            ...

            ANSWER

            Answered 2021-Mar-16 at 17:47

            I have found that the issue happened in the padding step, I mean

            Source https://stackoverflow.com/questions/66637269

            QUESTION

            Why does shuffling sequences of data in tf.keras.dataset affect the order of sequences differently between tf.fit and tf.predict?
            Asked 2021-Apr-27 at 05:27

            I am training an LSTM deep learning model with time series sequences and labels.

            I generate a tensorflow dataset "train_data" and "test_data"

            ...

            ANSWER

            Answered 2021-Mar-25 at 12:18

            The dataset gets shuffled everytime you iterate through it. What you get after your list comprehension isn't in the same order as when you write predict. If you don't want that, pass:

            Source https://stackoverflow.com/questions/66771775

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

            Vulnerabilities

            No vulnerabilities reported

            Install autotune

            You can download it from GitHub.
            PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.

            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/linkorb/autotune.git

          • CLI

            gh repo clone linkorb/autotune

          • sshUrl

            git@github.com:linkorb/autotune.git

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