python-sdk | Client library to use the IBM Watson services | Cloud Functions library
kandi X-RAY | python-sdk Summary
kandi X-RAY | python-sdk Summary
:snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of python-sdk
python-sdk Key Features
python-sdk Examples and Code Snippets
Lines of Code : 36License : Permissive (MIT)
Copy[rpc]
listen_ip=0.0.0.0
channel_listen_port=20200
jsonrpc_listen_port=8545
channel_host = "127.0.0.1"
channel_port = 20200
# 若节点与python-sdk位于不同机器，请将节点sdk目录下所有相关文件拷贝到bin目录
# 若节点与sdk位于相同机器，直接拷贝节点证书到SDK配置目录
cp ~/fisco/nodes/127.0.0.1/sdk/* # Initialize a request and print response, take interface of ListVpcs for example
request = ListVpcsRequest(limit=1)
response = client.list_vpcs(request)
print(response)
# handle exceptions
try:
request = ListVpcsRequest(limit=1)
response = from tensorbay.dataset import Data, Dataset
# Organize the local dataset by the "Dataset" class before uploading.
dataset = Dataset("DatasetName")
# TensorBay uses "segment" to separate different parts in a dataset.
segment = dataset.create_segment import copy
# data = {'intents': ...}
tt = str.maketrans('áéíóúñ', 'aeioun') # translate table
intents = [
{
'intent': d['intent'],
'examples': [{'text': example['text'].lower().translate(tt)from copy import deepcopy
list_foci=["Erbschaftssteuerrecht","Erbrecht"]
list_size=len(list_foci)
dynamic_list={
"arr": [
{
"title": "What time do you want your appointment?",
"options": "foci",
"description": "",
In [1]: response
Out[1]:
[{'arr': [{'title': 'Wählen Sie das passende Rechtsgebiet:',
'options': [{'label': 'Monday 1:00 pm',
'value': {'input': {'text': 'Monday 1:00 pm'}}},
{'label': 'Monday 1:00 pm',
'value': {'inptranscripts = [a["transcript"] for r in data_response["results"] for a in r["alternatives"]]
from statistics import mean
data_response = {
"result_index": 0,
"results": [
{
"alternatives": [{"confidence": 0.99, "transcript": "hello "}],
"final": True,
},
{
"alter from shutil import move
#verify this path as it varies from OS to OS
default_file_download_path = 'C:\\Users\\UserName\\Downloads\\'
destination_path = 'home\\valentino\\'
downloaded_file_name = [x for x in os.li
import ssl
try:
_create_unverified_https_context = ssl._create_unverified_context
except AttributeError:
pass
else:
ssl._create_default_https_context = _create_unverified_https_context
Community Discussions
Trending Discussions on python-sdk
QUESTION
I have extracted some data around how far you can travel from a certain set of coordinates in 15 mins using this code: https://github.com/traveltime-dev/traveltime-python-sdk.
...ANSWER
Answered 2022-Mar-21 at 13:54Disclaimer: I'm a dev at TravelTime
A shell consists of many points, to get the coordinates of a single point you would have to go one level deeper:
QUESTION
I uploaded a CSV file containing 9 documents to a collection in Watson Discovery. I've tried searching this collection with some queries but the confidences are really low(0.01 -> 0.02), despite returning the correct document. That led me to Relevancy training. I input around 60 questions and rate the returning results (on the Improvement tools panel). However, it seems to me that the training never starts. IBM keeps showing "IBM will begin learning soon". Here is the project status checked by python-sdk API. It has been like this for a couple of days.
My questions are:
- What could be possibly wrong with the relevancy training that lead to the training process not running?
- Is confidence of 0.01 -> 0.02 normal for an untrained collection (untrained strategy)?
Thank you in advance.
...ANSWER
Answered 2022-Mar-03 at 10:12It turns out that the format of the document is off. My coworker uploaded a CSV file with HTML code and IBM Discovery doesn't seem to like it.
I converted them to a set of pdf files and it works.
QUESTION
I want to use RCF's "test" channel, to get performance-metrics of the model.
I have previously used the record_set() method without specifying a channel and training worked fine.
However if I upload my feature matrix and label vector using record_set() and set channel='test' like this:
ANSWER
Answered 2022-Feb-25 at 12:20Thanks for opening the issue, I added a +1. In the meantime, you can use alternative SDKs to train Random Cut Forest and set test channel distribution to FullyReplicated.
For example, those SDKs should give you this control:
- AWS CLI create_training_job
- boto3 create_training_job
- SageMaker Python SDK Estimator to which you pass the RCF docker image in
image_uriparameter
QUESTION
Kucoin Futures API documentation for placing a limit order ( https://docs.kucoin.com/futures/#place-an-order ) has a param called "size" with type Integer. The description is given as "Order size. Must be a positive number".
A limit order to buy "CELRUSDTM" with param size = 1 results in an order placed to buy 10 CELR. A limit order to buy "ETHUSDTM" with param size = 1 results in an order placed to buy .01 ETH.
What does "size" actually refer to?
For reference, I'm using a python library called kucoin-futures-python-sdk (https://github.com/Kucoin/kucoin-futures-python-sdk/blob/main/kucoin_futures/trade/trade.py) and the class method is called create_limit_order
Here's the python to call this method to place the orders:
...ANSWER
Answered 2022-Feb-06 at 10:09The same documentation explains:
SIZEThe size must be no less than the lotSize for the contract and no larger than the maxOrderQty. It should be a multiple number of lotSize, or the system will report an error when you place the order. Size indicates the amount of contract to buy or sell. Size is the number or lot size of the contract. Eg. the lot size of XBTUSDTM is 0.001 Bitcoin, the lot size of XBTUSDM is 1 USD.
The applicable lotSize is returned when requesting the order info of the contract:
HTTP Request
QUESTION
I am building a snap to test integration of a python script and a python SDK with snapcraft and there appears to be a conflict when two python 'parts' are built in the same snap.
What is the best way to build a snap with multiple python modules?
I have a simple script which imports the SDK and then prints some information. I also have the python SDK library (https://help.iotconnect.io/documentation/sdk-reference/device-sdks-flavors/download-python-sdk/) in a different folder.
I have defined the two parts, and each one can be built stand alone (snapcraft build PARTNAME), however it seems the python internals are conflicting at the next step of 'staging' them together.
tree output of structure
...ANSWER
Answered 2022-Jan-18 at 17:40It looks like the best solution is to remove the offending build files from being included by the library. The 'lib-basictest' part is the main executing script, the files generated there should be included over the SDK library versions
Here is the updated lib-pythonsdk part
QUESTION
I have fed some data into a TravelTime (https://github.com/traveltime-dev/traveltime-python-sdk) API which calculates the time it takes to drive between 2 locations. The result of this (called out) is a dictionary with that looks like this:
...ANSWER
Answered 2022-Jan-21 at 12:08First, this json to be parsed to fetch required value. Once those values are fetched, then we can store them into dataframe.
Below is the code to parse this json (PS: I have saved json in one file) and these values added to DataFrame.
QUESTION
I need to import function from different python scripts, which will used inside preprocessing.py file. I was not able to find a way to pass the dependent files to SKLearnProcessor Object, due to which I am getting ModuleNotFoundError.
Code:
...ANSWER
Answered 2021-Nov-25 at 12:44This isn't supported in SKLearnProcessor. You'd need to package your dependencies in docker image and create a custom Processor (e.g. a ScriptProcessor with the image_uri of the docker image you created.)
QUESTION
Creating a simple client library so that someone who uses my api will have an easy time of it. Fairly new to python (3 months) and never created my own module/library/package before. I watched a ton of very simple tutorials and thought I was doing it properly. But I'm getting a module not found error despite following the instructions to the letter. Here is the basic format (Note, I've replaced the names of most files, classes, and methods because of a workplace policy, it should have no impact on the structure however)
...ANSWER
Answered 2021-Oct-12 at 20:28since you're trying to do a relative import from the __init__file you should add a period before filename like this.
QUESTION
I am using the sample program from the Snowflake document on using Python to ingest the data to the destination table.
So basically, I have to execute put command to load data to the internal stage and then run the Python program to notify the snowpipe to ingest the data to the table.
This is how I create the internal stage and pipe:
...ANSWER
Answered 2021-Sep-07 at 15:41Snowflake uses file loading metadata to prevent reloading the same files (and duplicating data) in a table. Snowpipe prevents loading files with the same name even if they were later modified (i.e. have a different eTag).
The file loading metadata is associated with the pipe object rather than the table. As a result:
Staged files with the same name as files that were already loaded are ignored, even if they have been modified, e.g. if new rows were added or errors in the file were corrected.
Truncating the table using the TRUNCATE TABLE command does not delete the Snowpipe file loading metadata.
However, note that pipes only maintain the load history metadata for 14 days. Therefore:
Files modified and staged again within 14 days: Snowpipe ignores modified files that are staged again. To reload modified data files, it is currently necessary to recreate the pipe object using the CREATE OR REPLACE PIPE syntax.
Files modified and staged again after 14 days: Snowpipe loads the data again, potentially resulting in duplicate records in the target table.
For more information have a look here
QUESTION
I am using Oracle NoSQL Cloud Service on OCI and I want to write a program using the Oracle NoSQL Database Python SDK.
I did a test using the OCI SDK, I am using instance-principal IAM vs creating config files with tenancy/user ocid and API private keys on the nodes which invoke the noSQL api calls
Is it possible to do a connection using instance-principal instead of creating config files with tenancy/user ocid and API private keys with the Oracle NoSQL Database Python SDK.
I read the examples provided in the documentation https://github.com/oracle/nosql-python-sdk but I cannot find information about instance-principal support
...ANSWER
Answered 2021-Jun-03 at 12:36The Oracle NoSQL Database Python SDK works with instance-principals and resource principals. See the documentation https://nosql-python-sdk.readthedocs.io/en/stable/api/borneo.iam.SignatureProvider.html
Here an example using resource principals and Oracle functions
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-sdk
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
