I am trying to import a model that was trained and saved using H2O 3.22.0.2.
The error is as follows:
INFO ERROR: Server error water.exceptions.H2OIllegalArgumentException:
Error: Illegal argument: dir of function: importModel: /home/centos/models/model_20190202_1204/DeepLearning_model_python_1549126947138_1
Request: POST /99/Models.bin/
data: {'dir': '/home/centos/models/model_20190202_1204/DeepLearning_model_python_1549126947138_1'}
The version running in the server is h2o==3.22.0.2.
I have run a prediction using this model file locally with no issues.
Could anyone provide any clues as to what might be going on? Thanks.
UPDATE:
I am attempting to load the model using h2o.load_model(model_path)
Related
I'm having trouble using the GeoMondrian Workbench on my Ubuntu 18.04 LTS system. I've followed the installation instructions and have installed the following:
Oracle Java 8
PostgreSQL 9.5
PostGIS 2.5
I've downloaded the GeoMondrian Workbench and the "simple_geofoodmart.sql" file, created a database, and passed the necessary parameters to the workbench.
However, when I try to open the "simple_geofoodmart.xml" schema file, I get the following error:
Error: Schema file /home/tarik/workbench/demo/simple_geofoodmart.xml is invalid. org/opengis/referencing/NoSuchAuthorityCodeException java.lang.NoClassDefFoundError: org/opengis/referencing/NoSuchAuthorityCodeException
Additionally, when I try to use an MDX query, I get the following error:
"Exception in thread 'AWT-EventQueue-0' java.lang.NoClassDefFoundError: Could not initialize class mondrian.olap.fun.GlobalFunTable at mondrian.rolap.RolapSchema$RolapSchemaFunctionTable.defineFunctions(RolapSchema.java:1643)"
I've tried to resolve all the dependencies and have made sure that I have the necessary JAR files in my classpath, but I'm still getting the same errors. Can anyone help me figure out what's going wrong and how to fix it? Thank you!
Pybullet error: physics server version mismatch (expected 202010061 got 201902120)
I am trying to connect pybullet with VR, and I try to run the example vr code given inside pybullet, vr_kuka_setup_vrSyncPlugin.py, I first ran the "build_visual_studio_vr_pybullet_double.bat" script and the App_PhysicsServer_SharedMemory_VR*.exe, and then I tried vr_kuka_setup_vrSyncPlugin.py, but I get such an error message:
b3Error[examples/SharedMemory/PhysicsClientSharedMemory.cpp,359]:
Error: physics server version mismatch (expected 202010061 got 201902120)
I am pretty sure that there is only one version of pybullet in my computer, the 3.0.9, and the python file and App_PhysicsServer_SharedMemory_VR*.exe comes from the same repo, so I don't know what is the problem related to this error? Is it a version error or something else?
output for code:
code itself
I don't think the pybullet connects to the shared memory successfully, and I think it connects to GUI.
My python version is 3.7, and after I ran pip3 install happybase, I started the command hbase thrift start and tried to write a brief .py file as following:
import happybase
connection = happybase.Connection('master')
table = connection.table('jmlr') #'jmlr' is a table in hbase
for i in table.scan():
print(i)
table.put('001', {'title':'dasds'}) #error here
connection.close()
When it's about to run table.put(), it reported such an error:
thriftpy2.transport.base.TTransportException: TTransportException(type=4, message='TSocket read 0 bytes')
And at the same time, the thrift reported an error:
ERROR [thrift-worker-1] thrift.TBoundedThreadPoolServer: Error occurred during processing of message. java.lang.IllegalArgumentException: Invalid famAndQf provided.
But just now I ran this python file again, it gave me a different error in thrift:
thrift.TBoundedThreadPoolServer: Thrift error occurred during processing of message.
org.apache.thrift.protocol.TProtocolException: Bad version in readMessageBegin
I have tried to add parameters like protocol='compact', transport='framed', but this didn't work, even the table.scan() failed.
Everything in the hbase shell is OK, so I can't figure out what went wrong, I'm about to collapse.
I ran into the same issue and found this sollution. You need to add even empty Column Qualifier ( ':' symbol as delimiter between Column Family and Column Qualifier) into put() method:
table.put('001:', {'title':'dasds'})
Also, you have a different error message after second run of script because thrift server is already failed.
I hope it will help you.
Following the official guide of Titan DB here, and trying to run the command:
graph = TitanFactory.open('conf/titan-cassandra-es.properties')
I got this error:
Backend shorthand unknown: conf/titan-cassandra-es.properties
Obviously, the reason is the incorrect path to the
titan-cassandra-es.properties
file. So I changed it to:
graph = TitanFactory.open('../conf/titan-cassandra-es.properties')
and got this error:
Encountered unregistered class ID: 141.
The error happens in the following version:
titan-0.5.4-hadoop2
On titan-1.0.0-hadoop2 instead of this error message I get this one:
Invalid import definition: 'com.thinkaurelius.titan.hadoop.MapReduceIndexManagement'; reason: startup failed: script14747941661821834264593.groovy: 1: unable to resolve class com.thinkaurelius.titan.hadoop.MapReduceIndexManagement # line 1, column 1. import com.thinkaurelius.titan.hadoop.MapReduceIndexManagement ^
1 error
And on titan-1.0.0-hadoop2 I get this one:
The input line is too long.
The syntax of the command is incorrect.
Does anyone know how to handle this issue?
It seems like you have not even managed to get Titan 1 to start up yet.
I do not believe Titan 1 has been deployed to support Windows out of the box. I.e. the downloadable package will not just work with windows.
Saying that I have managed to get Titan DB 1 to work on windows. To do so, all you have to do is install Cassandra 2.x on Windows. This guide may help you out. Start cassandra and enable thrift connections.
With that done you should be able to get Titan doing basic operations on windows. From there you may find dealing with you current errors easier.
Side Note: Windows support for Titan 0.5.x may be more substantial. So you could look into that as well.
I am following the steps mentioned on the AWS to use an interactive Hive session using SSH.
I used the following resources
https://github.com/ucbtwitter/getting-started/wiki/Using-Elastic-Map-Reduce-via-Command-Line
http://docs.amazonwebservices.com/ElasticMapReduce/latest/GettingStartedGuide/SignUp.html
I was getting this error initially "Error: Missing key access-id" and then I fixed my JSON file. The JSON file is in the same format as mentioned in the above links.
When I run this command
./elastic-mapreduce
I am getting the following error :-
Error: Unable to parse credentials.json: can't convert String into Integer.
I checked the values required in JSON at AWS as well.
Does anyone has an idea why am I getting this error?
The region value in the credentials.json must be of int type.
{......
......
"region": 1
}