handson-ml | ⛔️ DEPRECATED – See https | Machine Learning library

 by   ageron Jupyter Notebook Version: Current License: Apache-2.0

kandi X-RAY | handson-ml Summary

kandi X-RAY | handson-ml Summary

handson-ml is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Jupyter applications. handson-ml has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

            kandi-support Support

              handson-ml has a medium active ecosystem.
              It has 25017 star(s) with 13039 fork(s). There are 1096 watchers for this library.
              It had no major release in the last 6 months.
              There are 120 open issues and 432 have been closed. On average issues are closed in 109 days. There are 17 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of handson-ml is current.

            kandi-Quality Quality

              handson-ml has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              handson-ml is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              handson-ml releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 712 lines of code, 51 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            handson-ml Key Features

            No Key Features are available at this moment for handson-ml.

            handson-ml Examples and Code Snippets

            No Code Snippets are available at this moment for handson-ml.

            Community Discussions


            Custom environment using TFagents
            Asked 2021-Jun-02 at 22:36

            I am trying to learn a custom environment using the TFAgents package. I am following the Hands-on-ML book (Code in colab see cell 129). My aim is to use DQN agent on a custom-written grid world environment.

            Grid-World environment:



            Answered 2021-Jun-02 at 22:36

            You cannot use TensorSpec with PyEnvironment class objects, this is why your attempted solution does not work. A simple fix should be to use the original code

            Source https://stackoverflow.com/questions/65743558


            What does urllib.request.urlretrieve do if not returned
            Asked 2021-Apr-12 at 14:50

            From the python document, it is mentioned that urllib.request.urlretrieve returns a tuple and will be used to open file as shown in Code-A below.

            However in the example Code-B. The urllib.request.urlretrieve does not return but the code will fail without it. Please help clarify what does urllib.request.urlretrieve doing in Code B. THanks

            Code A



            Answered 2021-Apr-12 at 14:39

            The retrieve() method is used to save web content from url (eg csv,images etc) In your case it is saving the housing data saved up in the url. You can check the docs [here][1]

            Source https://stackoverflow.com/questions/67060306


            Import variables from another .py file
            Asked 2021-Apr-01 at 22:23

            I am learning python programming and I am stuck in something that is probably very basic but I cannot fix. My problem is: I have a .py file called "Downloading_The_Data" in a directory. This file contains some variables like "HOUSING_PATH" and others. Now, I have another .py file in the same directory and I want to import the other file into it. I simply write "import DOWNLOADING_THE_DATA" and everything works fine except when I try to use the variable "HOUSING_PATH" which seems not imported. The code:

            The "DOWNLOADING_THE_DATA" file:



            Answered 2021-Apr-01 at 22:21

            It's just like every other Python module.

            Source https://stackoverflow.com/questions/66912229


            Understanding and Evaluating different methods in Reinforcement Learning
            Asked 2021-Jan-09 at 03:53

            I have been trying to implement the Reinforcement learning algorithm on Python using different variants like Q-learning, Deep Q-Network, Double DQN and Dueling Double DQN. Consider a cart-pole example and to evaluate the performance of each of these variants, I can think of plotting sum of rewards to number of episodes (attaching a picture of the plot) and the actual graphical output where how well the pole is stable while the cart is moving.

            But these two evaluations are not really of interest in terms to explain the better variants quantitatively. I am new to the Reinforcement learning and trying to understand if any other ways to compare different variants of RL models on the same problem.

            I am referring to the colab link https://colab.research.google.com/github/ageron/handson-ml2/blob/master/18_reinforcement_learning.ipynb#scrollTo=MR0z7tfo3k9C for the code on all the variants of cart pole example.



            Answered 2021-Jan-09 at 03:53

            You can find the answer in research paper about those algorithms, because when a new algorithm been proposed we usually need the experiments to show the evident that it have advantage over other algorithm.

            The most commonly used evaluation method in research paper about RL algorithms is average return (note not reward, return is accumulated reward, is like the score in game) over timesteps, and there many way you can average the return, e.g average wrt different hyperparameters like in Soft Actor-Critic paper's comparative evaluation average wrt different random seeds (initialize the model):

            Figure 1 shows the total average return of evaluation rolloutsduring training for DDPG, PPO, and TD3. We train fivedifferent instances of each algorithm with different randomseeds, with each performing one evaluation rollout every1000 environment steps. The solid curves corresponds to themean and the shaded region to the minimum and maximumreturns over the five trials.

            And we usually want compare the performance of many algorithms not only on one task but diverse set of tasks (i.e Benchmark), because algorithms may have some form of inductive bias for them to better at some form of tasks but worse on other tasks, e.g in Phasic Policy Gradient paper's experiments comparison to PPO:

            We report results on the environments in Procgen Benchmark (Cobbe et al.,2019). This benchmark was designed to be highly diverse, and we expect improvements on this benchmark to transfer well to many other RL environment

            Source https://stackoverflow.com/questions/65636703


            Why shuffling the data like this leads to a poor accuracy
            Asked 2020-Dec-14 at 17:01

            I am reading the book "Hands-On Machine Learning" and I have a problem with exercise 9 of chapter 13, the exercise is as follows:

            a. Load the Fashion MNIST dataset (introduced in Chapter 10); split it into a training set, a validation set, and a test set; shuffle the training set; and save each dataset to multiple TFRecord files. Each record should be a serialized Example protobuf with two features: the serialized image (use tf.io.serialize_tensor() to serialize each image), and the label.

            b. Then use tf.data to create an efficient dataset for each set. Finally, use a Keras model to train these datasets, including a preprocessing layer to standardize each input feature.

            You can find the exercise with the solution at the end of this notebook: https://github.com/ageron/handson-ml2/blob/master/13_loading_and_preprocessing_data.ipynb

            I loaded the data like this:



            Answered 2020-Dec-14 at 17:01

            Because you are shuffling only the input data (X_train) without applying the same shuffling to the corresponding labels y_train. You should shuffle both together:

            Source https://stackoverflow.com/questions/65292999


            Can we make the ML model (pickle file) more robust, by accepting (or ignoring) new features?
            Asked 2020-Dec-03 at 07:45
            • I have trained a ML model, and stored it into a Pickle file.
            • In my new script, I am reading new 'real world data', on which I want to do a prediction.

            However, I am struggling. I have a column (containing string values), like:



            Answered 2020-Dec-03 at 07:45

            Yes, you can't include (update the model) a new category or feature into a dataset after the training part is done. OneHotEncoder might handle the problem of having new categories inside some feature in test data. It will take care of keep the columns consistent in your training and test data with respect to categorical variables.

            Source https://stackoverflow.com/questions/64910582


            Python 3.8.3 "File-not-found" message
            Asked 2020-Oct-05 at 05:49

            I am currently studying the book "Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow". I tried running the following example, without success however. The link is working, pandas is installed correctly, os, tarfile and urllib are system packages. Still, I get the error message below (tried Jupyter & Spyder):



            Answered 2020-Oct-05 at 05:49

            The local file "datasets/housing/housing.csv" is created only when you call

            Source https://stackoverflow.com/questions/64202986


            Error in using DataFrameMapper() for PolynomialFeature() in sklearn
            Asked 2020-Sep-19 at 16:36

            For housing data set, I am trying to use DataFrameMapper() from sklearn_pandas to apply polynomial features on selected columns.

            My code:



            Answered 2020-Sep-19 at 16:36
            • From the documentation
              • The difference between specifying the column selector as 'column' (as a simple string) and ['column'] (as a list with one element) is the shape of the array that is passed to the transformer. In the first case, a one dimensional array will be passed, while in the second case it will be a 2-dimensional array with one column, i.e. a column vector.
            • All of the columns must be passed with the same type of column selector.
              • In this case, a list, since there's a list of non-transformed columns to keep.

            Source https://stackoverflow.com/questions/63970578


            MemoryError: Unable to allocate MiB for an array with shape and data type, when using anymodel.fit() in sklearn
            Asked 2020-Sep-04 at 06:51

            Getting this memory error. But the book/link I am following doesn't get this error.

            A part of Code:



            Answered 2020-Jul-10 at 19:35

            The message is straight forward, yes, it has to do with the available memory.

            359 MiB = 359 * 2^20 bytes = 60000 * 784 * 8 bytes

            where MiB = Mebibyte = 2^20 bytes, 60000 x 784 are the dimensions of your array and 8 bytes is the size of float64.

            Maybe the 3.1gb free memory is very fragmented and it is not possible to allocate 359 MiB in one piece?

            A reboot may be helpful in that case.

            Source https://stackoverflow.com/questions/62839068


            Powershell set a variable and print but nothing
            Asked 2020-Sep-01 at 03:53
            SET ML_PATH=E:\Workspace\Handson-ml2
            echo $ML_PATH


            Answered 2020-Sep-01 at 03:53

            You can define a variable in PowerShell using the $varname = syntax:

            Source https://stackoverflow.com/questions/63680632

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


            No vulnerabilities reported

            Install handson-ml

            Start by installing [Anaconda](https://www.anaconda.com/distribution/) (or [Miniconda](https://docs.conda.io/en/latest/miniconda.html)), [git](https://git-scm.com/downloads), and if you have a TensorFlow-compatible GPU, install the [GPU driver](https://www.nvidia.com/Download/index.aspx), as well as the appropriate version of CUDA and cuDNN (see TensorFlow’s documentation for more details).


            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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