Autolog | A micro error/notification logger class
kandi X-RAY | Autolog Summary
kandi X-RAY | Autolog Summary
A PHP class to save/log/mail errors/notifications from your app or from /var/log/ as they appear.
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Top functions reviewed by kandi - BETA
- 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 .
Autolog Key Features
Autolog Examples and Code Snippets
Community Discussions
Trending Discussions on Autolog
QUESTION
The full error message is as below:
...ANSWER
Answered 2021-Oct-11 at 10:01Fortunately, 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.
- File names. The file names should be the same suggested in MLFlow docs
https://mlflow.org/
. For example notconda.yamp
, butconda.yaml
, as there was such problem inhttps://github.com/mlflow/mlflow/issues/3856
- The
conda.yaml
file does not support Tab, please consider using spaces instead - 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
- (In my case) MLProject file is space sensitive. Let the
https://github.com/mlflow/mlflow/tree/master/examples
GitHub examples guide you.
QUESTION
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 04:21I 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:
QUESTION
I found this useful decorator that allows you to pass in some optional arguments
...ANSWER
Answered 2021-Jun-01 at 20:01Decorators 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
QUESTION
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 15:14The 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:
QUESTION
I use the following configuration and code to create a spring boot application.
pom.xml:
...ANSWER
Answered 2020-Nov-18 at 06:08Spring'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
.
QUESTION
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 04:32In 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
QUESTION
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 04:08After 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).
QUESTION
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 18:15Add this to your query:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install Autolog
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.
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