calibrator | Harald Steck 's Calibrated Recommendations approach | Recommender System library

 by   karlhigley Scala Version: Current License: MIT

kandi X-RAY | calibrator Summary

kandi X-RAY | calibrator Summary

calibrator is a Scala library typically used in Artificial Intelligence, Recommender System applications. calibrator has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

An implementation of Harald Steck's Calibrated Recommendations approach to re-ranking. See the RecSys 2018 paper for more details.
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            kandi-support Support

              calibrator has a low active ecosystem.
              It has 7 star(s) with 2 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              calibrator has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of calibrator is current.

            kandi-Quality Quality

              calibrator has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              calibrator 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

              calibrator releases are not available. You will need to build from source code and install.

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            calibrator Key Features

            No Key Features are available at this moment for calibrator.

            calibrator Examples and Code Snippets

            Loads tensors from a given generator .
            pythondot img1Lines of Code : 50dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _feed_tensors(self, dataset_gen, resize_input):
                """Feed tensors to the calibrator."""
                initialized = {}
            
                for sample in dataset_gen():
                  if isinstance(sample, tuple):
                    if not isinstance(sample[1], dict):
                      raise Value  
            Calibrate and calibrate the model .
            pythondot img2Lines of Code : 39dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def calibrate_and_quantize(self,
                                         dataset_gen,
                                         input_type,
                                         output_type,
                                         allow_float,
                                         activations_type=dtyp  
            Initialize the model .
            pythondot img3Lines of Code : 33dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(self,
                           model_content,
                           custom_op_registerers_by_name=None,
                           custom_op_registerers_by_func=None):
                """Constructor.
            
                Args:
                  model_content: Content of a TF-Lite Flatbuffer file.
                  cu  

            Community Discussions

            QUESTION

            Creating Custom Flask WTForms Widgets
            Asked 2021-May-29 at 21:03

            I have a custom Flask WTForm where I want to have a portion of that form that includes a list of button type inputs that are created based on the number of entries in a table but have been having difficulties having them show up the way I want and passing the form validation. My goal for the look of this field is to have it show up as an Inline Button Group with a Checkbox type input. Below is an example of my route method.

            ...

            ANSWER

            Answered 2021-May-28 at 19:07

            I usually tackle form building doing something like this:

            Source https://stackoverflow.com/questions/67741076

            QUESTION

            Calibrator on change event is not working with javascript
            Asked 2021-Apr-01 at 07:16

            Below is my codes for my php and javascript event, however my Function()1 doesnt seem to be working. Please help me. I got my previous js onchange event working , but not this one, everything is just the same.

            PHP

            ...

            ANSWER

            Answered 2021-Apr-01 at 07:16

            I assume that you are trying to do something like this? One thing - I'm pretty sure that you cannot legitimately nest label elements as you do here if you wish to maintain valid HTML. For the sake of the demo the PHP has been replaced with static values

            Source https://stackoverflow.com/questions/66899440

            QUESTION

            using QT Process or threads to run functions?
            Asked 2021-Mar-30 at 09:12

            I wanted to run few functions using different threads or QProcess or something which is more effective and also provide good performance. I am trying to build one gui for calibrator and as soon as I press calibrate button it needs to calibrate. For calibrating, I have some function to do that. However it takes some time to do this calibration process. Until my calibration is done my gui stays unresponsive. So what i am trying to do here is I would like to run that function in some parallel process or threads or some other things.

            ...

            ANSWER

            Answered 2021-Feb-09 at 15:30

            To maintain your GUI responsive, heavy processing needs to be performed in background threads.

            You can run a thread using standard library:

            Source https://stackoverflow.com/questions/66121444

            QUESTION

            Change speed of request animation frame
            Asked 2021-Mar-26 at 21:01

            I have this code to move an image in a canvas from a position to an other one :

            ...

            ANSWER

            Answered 2021-Mar-26 at 21:01

            EDIT: added another movement example (look at cyan square)

            To answer your comment about how to get "somewhere" in a fixed amount of time, you can linearize most functions and then solve the equation by fixing the time. This is easy for linear movement but rather difficult for complex cases, like moving along non-linear functions (e.G. a logarithmic spiral).

            For a linear movement at constant speed (no acceleration/deceleration) from (x0, y0) to (x1, y1) in time dt you can use linear interpolation:

            Source https://stackoverflow.com/questions/66802877

            QUESTION

            Untraced function warning and Model parsing failure for Keras TCN Regressor (TF Lite)
            Asked 2021-Mar-22 at 14:40

            The error: TF Lite converter throws an untraced function warning when trying to convert a temporal CNN (built using the widely used Keras TCN library: https://github.com/philipperemy/keras-tcn ), and throws in model parsing error when trying to do post-training quantization

            1. System information
            • OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04
            • TensorFlow installation (pip package or built from source): Pip (python 3.8.8)
            • TensorFlow library (version, if pip package or github SHA, if built from source): 2.3.0 (TF Base), 2.4.0 (TF-GPU)
            2. Code

            Part 1, converting pretrained TF model to TF Lite Model:

            ...

            ANSWER

            Answered 2021-Mar-22 at 14:40

            I had a similar issue. I found a workaround by implementing the TCN without using custom layers (it's basically just padding and Conv1D) to get rid of the untraced function issue.

            For the quantization, it seems that there might be an issue with the current version of TF (2.4.0). Again, a workaround is to change the Conv1D with Conv2D with a kernel size of (1,k). It also seems that the quantization issue should be solved in tf-nightly. If you want to give it a try, then please let me know if it works in tf-nightly, as I didn't try it myself yet.

            Source https://stackoverflow.com/questions/66432258

            QUESTION

            Creating a new method 'predict_proba' in keras.models.Model class that returns the output of existing method 'predict'
            Asked 2021-Mar-06 at 13:02

            I am trying to use a Functional API to create a model which I then use for calibration using CalibratedClassifierCV. Unfortunately it throws an error saying that predict_proba cannot be used with a Functional model. In my case, I have only one output so model.predict() would work just as well as model.predict_proba(). I was wondering if it is possible to create a new method in the keras.models.Model class called predict_proba that just returns the output of predict.

            So far I have tried this:

            ...

            ANSWER

            Answered 2021-Mar-06 at 13:02

            Apparently this simple fix seems to work:

            Source https://stackoverflow.com/questions/66505318

            QUESTION

            Using pipeline classifier inside of CalibratedClassifierCV
            Asked 2021-Feb-25 at 21:49

            I am trying to train an XGBoost classfier. The target variable y is binary.

            DATA (Couldn't find a sample dataset to make this completely reproducible. Sorry about that).

            X_train, X_validate, X_test (contain numerical and categorical data)

            y_train, y_validate, y_test (the values are binary 1/0).

            PREPROCESSOR.

            ...

            ANSWER

            Answered 2021-Feb-24 at 17:25

            Thank you for responding, I'm glad downgrading the sklearn version worked for you. Posting the link here for future reference. Xgboost not running with Callibrated Classifier

            Source https://stackoverflow.com/questions/66340665

            QUESTION

            Xgboost not running with Callibrated Classifier
            Asked 2021-Feb-25 at 21:42

            I am trying to run XGboost with with calibrated classifier, below is the snippet of code where I am facing the error:

            ...

            ANSWER

            Answered 2020-Dec-31 at 08:42

            It's fixed now, seems like there is a bug in scikit-learn= 0.24

            I downgraded to 0.22.2.post1 and it was fixed!

            Source https://stackoverflow.com/questions/65517931

            QUESTION

            ROS Camera Calibrator Errors Out
            Asked 2021-Feb-14 at 18:47

            I have ROS installed on a Ubuntu 20.04 running ros_core and a Raspberry Pi running a camera node. I tried to run rosrun camera_calibration cameracalibrator.py --size 8x6 --square 0.108 image:=/cv_camera/image camera:=/cv_camera I get the following error:

            ...

            ANSWER

            Answered 2021-Feb-14 at 18:47

            You have to find the calibrator file which is under /opt/ros/noetic/lib/camera_calibration/cameracalibrator.py and then run it manually.

            Source https://stackoverflow.com/questions/66079083

            QUESTION

            ROS Camera Calibration Cannot Find set_camera_info Service
            Asked 2021-Feb-14 at 18:39

            I am new to ROS and am trying to run the camera calibration program. I got the cv_camera module to publish the /cv_camera/camera_info, /cv_camera/image_raw I ran rosservice list which showed that the /cv_camera/set_camera_info is running. Yet when I run the calibrator.py script, it fails saying:

            ...

            ANSWER

            Answered 2021-Feb-14 at 18:39

            You also have to add the image_common module!

            Source https://stackoverflow.com/questions/66082389

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

            Vulnerabilities

            No vulnerabilities reported

            Install calibrator

            You can download it from GitHub.

            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/karlhigley/calibrator.git

          • CLI

            gh repo clone karlhigley/calibrator

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            git@github.com:karlhigley/calibrator.git

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