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kandi X-RAY | classindex Summary
kandi X-RAY | classindex Summary
ClassIndex is an index of classes which you can query for:.
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- Iterate over all methods
- Reads the old index file
- Store a repeatable annotation
- Indexes the supertypes
- Remove all service entries from the JAR file
- Resolves the file name for the given key
- Relocate the class if needed
- Process a resource
- Initialize super classes
- Creates a filter that satisfies the selected predicates
- Adds the given annotations to the index
- Adds the given packages
- Adds given classes to the index
- Determines if the given resource can transform the given resource
- Returns true if a resource has been transformed
- Returns the supported annotation types
- Returns the current source version
classindex Key Features
classindex Examples and Code Snippets
Community Discussions
Trending Discussions on classindex
QUESTION
I am tring to classify traffic sings by using raspery-pi, for this i trained and saved a keras model that is .h5 file, but it consume too much cpu so i convert it to .tflite model and tried to run. However it gives that error OSError: SavedModel file does not exist at: yourmodel.tflite/{saved_model.pbtxt|saved_model.pb}
i checked the path, here is my code.
Also i just changed that line: model = tensorflow.keras.models.load_model("my_model.h5")
to model = tensorflow.keras.models.load_model("yourmodel.tflite")
ANSWER
Answered 2021-Dec-01 at 16:19Try to save your keras model using this code
QUESTION
I have some code like follows. I tried to simplify the code to be easy to understand as much as possible.
...ANSWER
Answered 2021-Dec-01 at 08:44Given your code, you could simply remove the return type from getFooBase()
(or with php v8, make it : mixed
). The method is not part of the public api. And as such there's no real loss here.
As your getFoo()
s return values are typed individually, you'd get a type error anyways if whatever getFooBase()
returned wasn't suitable.
QUESTION
There is a clear memory leak in my code that causes my used memory to go from 5gb to 15.7gb in a span of 40-60 seconds, then crashes my program with an OOM error. I believe this happens when I am creating tensors to form the dataset and not when I am training the model. My data consists of 25,000 images stored locally. As such, I used the built-in tensorflow.js function tf.data.generator(generator) described here to create the dataset. I believe this is the best and most efficient way to create a large dataset as mentioned here.
Example
I used a helper class to create my dataset by passing in the path to the images
...ANSWER
Answered 2021-Oct-07 at 20:50Every tensor you create, you need to dispose of - there is no garbage collection as you're used to in JS. That's because tensors are not kept in JS memory (they can be in GPU memory or WASM module, etc.), so JS engine cannot track them. They are more like pointers than normal variables.
For example, in your code:
QUESTION
I get an error referencing a boxed value:
...ANSWER
Answered 2021-Jun-19 at 13:15Your struct expects an owned type - function
must be a Box
:
QUESTION
I want to count the numbers of true values between two String
from my training data, however, the code I implemented only counts the number of instances that are true as opposed to the total sum that are true.
ANSWER
Answered 2021-May-09 at 01:52Instead of comparing strings, why don't you just compare the numeric prediction obtained from classifyInstance
with the actual numeric class label from the training data (train.instance(i).classValue()
)?
Since you didn't post your full code (the DatasetLoading
class is missing), here is a simple rewrite of your code. The class expects the filename of the dataset to use as the first parameter. This class uses two approaches for evaluating the model: manual comparison of the predictions and using Weka's Evaluation class (which gives you a whole lot more statistics).
QUESTION
All I need help with is getting the years on the bottom of the circles to flow counter clockwise (antiClockwise) once I change the origin = 225. The fiddle is below. Everything else is working properly. I'm sure this is a simple piece of code but I just can't find where it goes. Thanks for any help you can provide.
...ANSWER
Answered 2021-Jan-21 at 21:14I'm sure this isn't the best way to do it, but I got it to display the way you want by changing the js for the bottom letters to this
QUESTION
This is more a plea for guidance rather than any hard coding example. I have set myself a problem to write an archery recording system using Django. I have got the recording system working well and the system can register users, record their scores, show their scores filtered by round, show the users scores who have shot a particular round etc. This issue I have got is when it comes to classifying the score. I will explain:
- In archery scores are recorded against the round you shoot. These vary so you have 60+ rounds to choose from each having different criteria and different maximum scores.
- Archers are grouped according to gender and age (10 sub groups)
- Archers shoot one of 3 different bowtypes
- The classification system works by taking the round shot and the sub-group that the archer falls into and the bowtype used and looking across a table of values. The classification gained is the one that the score falls into i.e.
- if you are male and over 18 you are grouped as a 'Gentleman'
- The round you shoot is called a 'York' with a recurve bow and you score 550
- The table you would consult would look like this
ANSWER
Answered 2021-Jan-13 at 12:49This is possible in Django. It seems as if you're asking for a good way to store these unique scoring tables to compare archers' scores with. Otherwise, with enough logic, you can certainly classify an archer and a score to a certain class.
Django models are representations of SQL fields. This is a fine way to store your scoring tables however you have many options when it comes to storing data.
QUESTION
I want to do some work with weka in java. I've added the weka-src.jar and the weka-dev-3.7.10 jar in the java build path and my code doesn't show any error before running it. After I run the code it gives me the following error
...ANSWER
Answered 2021-Jan-10 at 20:41As said in the comments below by Zastai, you added the weka jars to the build path, but the relevant weka jar needs to be in the classpath as well.
QUESTION
I created a Spark Scala project to test XGBoost4J-Spark. The project builds successfully but when I run the script I get this error:
...ANSWER
Answered 2020-Sep-10 at 06:44You need to provide XGBoost libraries when submitting the job - the easiest way to do it is to specify Maven coordinates via --packages
flag to spark-submit
, like this:
QUESTION
Fully working example:
I'm sending some binary data from front-end:
...ANSWER
Answered 2020-Jul-01 at 21:44Fix is embarrassingly easy, use req.body
instead of req.body.buffer
. Explanation here.
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