openScale | source weight and body metrics tracker | iOS library
kandi X-RAY | openScale Summary
kandi X-RAY | openScale Summary
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Top functions reviewed by kandi - BETA
- Generate view
- Generate the graph graph
- Get the counts of the month of the specified year
- Generate chart data set
- Called when a notification is received
- Decrypt AES
- Add fat measurement
- Encrypt AES data
- Create the initial preferences
- On bluetooth notify
- Init fat evaluation sheets
- Override to draw the info on the bar
- On Bluetooth notify
- Called when a network notification is received
- Create view
- Init the view
- Set the preferred preferences for the screen
- Called when a new Bluetooth message is received
- Set up the widget
- Read the next step
- Create the overview view
- Initialize view
- This method initializes the user settings
- Sends a command to the scale
- Initializes the activity
- Handle next step
openScale Key Features
openScale Examples and Code Snippets
Community Discussions
Trending Discussions on openScale
QUESTION
I have really strange problem So, I created model via Modeler Flow using Spark Environment There was a .csv file, that consists of data about bank's clients and this model had to predict is there any risk to give these people the loan. After that, I deployed the model and get to OpenScale instance.
So the problem is:
When I config the "Model Details" it ask to point the field from training data file that contains the answers to be predicted by the model it shows me that there is only one suitable field (and its correct), this field contains string data (I TOTALLY ENSURE IN IT!!) Then it ask to point the column in the OUTPUT Data from the model From the output data, select the feature that contains the prediction generated by the AI deployment.
There are three possible columns, two of them have string type and another one is double type I choose the middle one because this column consists of string predictions values (No/Yes)
Ok, it's done.
Go to quality monitor and it shows me this message Prerequisites Check has failed: Label column label
in training_data_schema
with modelling role target
has different type double
than column $X-Risk
in output_data_schema
with modelling role prediction
of type string
; Verify label_column
and prediction_field
settings in asset_properties
of your subscription
I really don't know how to fix it. Because I KNOW that that there is NO column named LABLE and of course there is NO column named LABLE with DOUBLE TYPE!!
Help me please!!
...ANSWER
Answered 2020-Feb-05 at 14:23As you have created a spark model , you must have done a string indexing while training model this would apply even for the target column (aka label column ) , which might have lead to detecting the target column from training data to be a double column , so please try selecting the prediction column (that you select from output data) to be the number (aka double column) and it should resolve your problem mostly
QUESTION
I'm wondering how to interpret the "importance" values in the contrastive explanation part when getting an explanation task response. See https://cloud.ibm.com/apidocs/ai-openscale#get-explanation-task > entity > contrastive_explanation > pertinent_positive_features (and also pertinent_negative_features).
Importance seems to be high for some features that are not changed compared to input features, and low for some where the value has changed compared to the input. I'm trying to understand which of all the features returned are key - i first went with those that were changed compared to the input features, but since this does not line up with the importance values I'd like to understand better what this importance stands for?
For example:
...ANSWER
Answered 2019-Sep-06 at 04:11The importance of features for pertinent positive is computed as the change needed to get to the Pertinent positive feature value from its median value. E.g., if the feature F1 has value 20 in its pertinent positive and the median value of f1 is 2, then the importance depends on the distance between 20 and 2 (i.e., 18). We also factor in the standard deviation to normalise the distance across different features. Hence it could happen that a feature whose value has not changed in the PP has high weight (if that value is away from its median). So the weight is a measure of how far the PP feature value is from its median.
Having said that, another way of looking at feature importance is to look at those features which have changed.
Thanks, Manish
QUESTION
I am setting up sensors with the Particle Photon and the SparkFun OpenScale. I would like to identify them uniquely from the serial connection. At the moment, my code on the Particle Photon outputs:
...ANSWER
Answered 2019-Sep-05 at 11:45The Particle Community had the answer for the Particle Photon and pointed me to the reference documentation. This code works:
QUESTION
Watson OpenScale provides free internal database in the tutorial. However, if I want to monitor my own models, do I need to provision a paid database in IBM cloud to do the payload logging?
If not, does the free internal database also support the payload data analytics?
...ANSWER
Answered 2019-Apr-11 at 11:20You can use freely the internal database for monitoring of any model type with the limitations listed at: https://cloud.ibm.com/docs/services/ai-openscale?topic=ai-openscale-connect-db#cdb-lite.
In summary:
- The free database is hosted, and is not directly accessible to you.
- The database capacity is limited to 1GB.
- IBM® Watson OpenScale will have full access to your database, and thus will have full access to your data.
- The database is not GDPR-compliant. If your model processes personally-identifiable information (PII), you cannot use the free database.
QUESTION
How can I perform blocking write operation in Android with RxAndroidBle. Only if the write operation is successful the next command should be performed.
...ANSWER
Answered 2019-Feb-20 at 15:22I know subscribe and onComplete but it is also possible to do without these methods?
Given:
QUESTION
Currently I am trying to refactor my source code to use the RxAndroidBle library.
I implemented a state machine which call on every Bluetooth successful operation (notify on, write, read and so on) the next state. The rxBleConnection should always be established as long the Bluetooth device is running.
My implementation for the setup notification looks like follow:
...ANSWER
Answered 2019-Jan-09 at 17:30I thought doOnNext is only called once on successful notification setup!?
In your case this .doOnNext()
will get called for each successful notification setup after a connection is established. If the connection will be broken by any cause the .retry()
operator will resubscribe to connectionObservable
which may start a new connection that would trigger a new notification setup.
Conclusion: your .doOnNext()
may be called up to BT_RETRY_TIMES_ON_ERROR
times for each .subscribe()
How can I repeatedly setup a notification on the same characteristic?
A notification is active as long as .setupNotification()
is subscribed and there is no need to setup it again. However if one would try to subscribe again to .setupNotification()
for the same characteristic both subscribers will share the same notification. In your example the notification will be active until the compositeDisposable
will be disposed or the connection will break (in which case a new connection will be established up to BT_RETRY_TIMES_ON_ERROR
times for each subscribe as mentioned above).
Is there a better way to create a state machine with RxAndroidBle/RxJava2? (I need to call various Bluetooth operation sequential)
RxJava2 allows for building state transformations and schedule subscribing to particular Observable
in many different manners (sequential as well) e.g.
QUESTION
I'm trying to get the androidTest (instrumentation tests) working for the openScale Android app using the following build.gradle:
...ANSWER
Answered 2018-Jan-23 at 21:06It seems that moving the test case from .../com.health.openscale/DatabaseTest.java
to .../com/health/openscale/DatabaseTest.java
fixed the problem.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install openScale
You can use openScale like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the openScale component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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