Autolog | A micro error/notification logger class

 by   samayo PHP Version: 0.1.3 License: MIT

kandi X-RAY | Autolog Summary

kandi X-RAY | Autolog Summary

Autolog is a PHP library typically used in Logging applications. Autolog has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A PHP class to save/log/mail errors/notifications from your app or from /var/log/ as they appear.
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            kandi-support Support

              Autolog has a low active ecosystem.
              It has 7 star(s) with 3 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 20 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Autolog is 0.1.3

            kandi-Quality Quality

              Autolog has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Autolog 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

              Autolog releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 228 lines of code, 25 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Autolog and discovered the below as its top functions. This is intended to give you an instant insight into Autolog implemented functionality, and help decide if they suit your requirements.
            • Formats log message .
            • Auto log handler
            • Log a message
            • Writes the error to a file .
            • To Email
            • Logs to the database
            • Get an offset
            • Check if a file is readable .
            • Register notification handler .
            • Get the constants .
            Get all kandi verified functions for this library.

            Autolog Key Features

            No Key Features are available at this moment for Autolog.

            Autolog Examples and Code Snippets

            No Code Snippets are available at this moment for Autolog.

            Community Discussions

            QUESTION

            Hi. I am very new to MLFlow, and want to implement MLFlow project on my own ML model. However I am getting ""Could not find main among entry points""
            Asked 2021-Oct-11 at 10:01

            The full error message is as below:

            ...

            ANSWER

            Answered 2021-Oct-11 at 10:01

            Fortunately, I have been resolved my problem. I list some solutions for the same error which can help you in the future if you face the same problem.

            1. File names. The file names should be the same suggested in MLFlow docs https://mlflow.org/ . For example not conda.yamp, but conda.yaml, as there was such problem in https://github.com/mlflow/mlflow/issues/3856
            2. The conda.yaml file does not support Tab, please consider using spaces instead
            3. In the MLProject file name 'P' should be the upper case before MLFlow 1.4. But the later versions it does not matter as explained there https://github.com/mlflow/mlflow/issues/1094
            4. (In my case) MLProject file is space sensitive. Let the https://github.com/mlflow/mlflow/tree/master/examples GitHub examples guide you.

            Source https://stackoverflow.com/questions/69479488

            QUESTION

            how to log KerasClassifier model in a sklearn pipeline mlflow?
            Asked 2021-Sep-14 at 04:21

            I have a set of pre-processing stages in sklearn Pipeline and an estimator which is a KerasClassifier (from tensorflow.keras.wrappers.scikit_learn import KerasClassifier).

            My overall goal is to tune and log the whole sklearn pipeline in mlflow (in databricks evn). I get a confusing type error which I can't figure out how to reslove:

            TypeError: can't pickle _thread.RLock objects

            I have the following code (without tuning stage) which returns the above error:

            ...

            ANSWER

            Answered 2021-Sep-14 at 04:21

            I think I find sort of a workaround/solution for this for now, but I think this issue needs to be addressed in MLFloow anyways.

            What I did is not the best way probably. I used a python package called scikeras that does this wrapping and then could log the model

            The code:

            Source https://stackoverflow.com/questions/69126555

            QUESTION

            Passing instance variables to a decorator
            Asked 2021-Jun-01 at 20:01

            I found this useful decorator that allows you to pass in some optional arguments

            ...

            ANSWER

            Answered 2021-Jun-01 at 20:01

            Decorators are called while the class is being defined, and self is simply a parameter used for each instance method, not something the class itself provides. So self is not defined at the time you need it to be for use as an argument to your decorator.

            You need to modify experiment_wrapper to take a name directly from its self argument, rather than from an argument to mflow_experiment. Something like

            Source https://stackoverflow.com/questions/67794959

            QUESTION

            Python3: shap tree explainer: Exception ignored in: 'array_dealloc'
            Asked 2021-Mar-26 at 15:14

            I'm running xgboost for machine learning, and after successful completion of my machine learning using XGBClassifier, I want to make plots of the results.

            A minimal working example of my input data in JSON format:

            [{"age":58,"Deceased":"False","sex":"False"},{"Deceased":"False","age":59,"sex":"False"},{"sex":"False","age":"68","Deceased":"False"},{"Deceased":"False","age":"26","sex":"False"},{"Deceased":"False","age":87,"sex":"False"},{"sex":"True","age":31,"Deceased":"False"},{"Deceased":"False","age":"35","sex":"False"},{"sex":"False","Deceased":"False","age":41},{"age":"78","Deceased":"False","sex":"True"},{"Deceased":"False","age":"45","sex":"True"},{"sex":"False","age":56,"Deceased":"False"},{"sex":"False","Deceased":"False","age":"26"},{"sex":"True","age":"64","Deceased":"False"},{"sex":"False","age":"37","Deceased":"False"},{"age":"86","Deceased":"True","sex":"False"},{"age":76,"Deceased":"True","sex":"True"},{"Deceased":"True","age":69,"sex":"False"},{"Deceased":"True","age":79,"sex":"True"}]

            Following advice from https://evgenypogorelov.com/multiclass-xgb-shap.html

            my script:

            ...

            ANSWER

            Answered 2021-Mar-26 at 15:14

            The solution was that there was an error in the commands to TreeExplainer. The problem is that the error message was "Less than Awesome". The solution:

            Source https://stackoverflow.com/questions/66376784

            QUESTION

            Error creating bean with name 'projectController': Unsatisfied dependency expressed through field 'service';
            Asked 2020-Nov-20 at 07:59

            I use the following configuration and code to create a spring boot application.

            pom.xml:

            ...

            ANSWER

            Answered 2020-Nov-18 at 06:08

            Spring's complaint is that you haven't defined a Bean of type ProjectMapper, which it is saying that it needs to satisfy an Autowire request. Looking at your code, I don't see a definition for such a Bean in what you've shown us here.

            The exact point of the problem is hidden, I'm guessing, because you aren't showing us the definition of the ServiceImpl class. My guess is that that's where the actual reference is that Spring is trying to wire up. Apparently, the field name is baseMapper.

            Source https://stackoverflow.com/questions/64887470

            QUESTION

            Can't access self.request.user when overriding FilterSet.qs
            Asked 2020-Jul-30 at 04:32

            I have written code for a filter that takes into account some fields of a given patient (name, age and id). The users of the website will be doctors, and I want only patients of the current logged in doctor to come up in the search. After reading the docs and trying to do so in many different ways, I have accomplished nothing.

            It seems the best method is to override the FilterSet.qs function and so I did, similarly to what is present in the documentation. However, when I try to access self.request.user it comes back as none, even though there is a user currently logged in.

            I am new to Django and still trying to figure things out. Any help is highly appreciated. I believe I have pasted in all that is relevant, but I am sorry in advance if something is missing.

            ...

            ANSWER

            Answered 2020-Jul-30 at 04:32

            In your case, you are trying to filter the base queryset with logged-in user. For that, you don't need the filter set class, just override the get_queryset(...) method

            Source https://stackoverflow.com/questions/63166099

            QUESTION

            Customize metric visualization in MLFlow UI when using mlflow.tensorflow.autolog()
            Asked 2020-Jul-06 at 04:10

            I'm trying to integrate MLFlow to my project. Because I'm using tf.keras.fit_generator() for my training so I take advantage of mlflow.tensorflow.autolog()(docs here) to enable automatic logging of metrics and parameters:

            ...

            ANSWER

            Answered 2020-Jul-06 at 04:08

            After searching around, I found this issue related to my problem above. Actually, all my metrics just logged once each training (instead of each epoch as my intuitive thought). The reason is I didn't specify the every_n_iter parameter in mlflow.tensorflow.autolog(), which indicates how many 'iterations' must pass before MLflow logs metric executed (see the docs). So, changing my code to:

            mlflow.tensorflow.autolog(every_n_iter=1)

            fixed the problem.

            P/s: Remember that in TF 2.x, an 'iteration' is an epoch (in TF 1.x it's a batch).

            Source https://stackoverflow.com/questions/62711259

            QUESTION

            Showing the count of rows in a MySQL table, where the logged events are exactly x year and y month old
            Asked 2020-Mar-30 at 18:15

            I have a quite simple database which autologs events and dates. I've recently tried looking at how many events took place exactly x years and y month ago. I know this can be acommplished by manually looking up the date and making a where year(time) = x and month(time)=y, but is there an option to do this with timediff or datesub somehow?

            ...

            ANSWER

            Answered 2020-Mar-30 at 18:15

            Add this to your query:

            Source https://stackoverflow.com/questions/60936494

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

            Vulnerabilities

            No vulnerabilities reported

            Install Autolog

            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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            gh repo clone samayo/Autolog

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