Data Explorer Client SDK
Project description
Data Explorer Client SDK
Introduction
akride
is a Python SDK that facilitates interaction with Akridata's Data Explorer, providing seamless integration and tools for streamlined data analysis.
Akridata's Data Explorer allows you to save time building the best training and test sets for your application.
akride
will help you:
- Visualize your data
- Detect and remove outliers
- Check class imbalance
- Sample the data and remove duplications
- Apply Image-based-Search
- Analyze model's accuracy
and much more!
Installation
You can install the latest stable version of akride
via pip
-
for a CPU-only version:
pip install akride[cpu]
or on a GPU-enabled machine:
pip install akride[gpu]
You can upgrade your existing installation to the latest version by running
pip install -U akride[cpu]
or
pip install -U akride[gpu]
QuickStart
Start using Akride by copying the following code snippet into your Python terminal:
from akride import AkriDEClient
SAAS_ENDPOINT="https://app.akridata.ai"
API_KEY=<your-api-key>
# API Key Configurations
sdk_config_dict = {
"saas_endpoint": SAAS_ENDPOINT,
"api_key": API_KEY,
"mode": "saas"
}
client = AkriDEClient(sdk_config_dict=sdk_config_dict)
print(client.get_server_version())
Documentation
For detailed documentation on how to use the akride client and its capabilities, please refer to the official SDK documentation.
For more information about Akridata's Data Explorer, please refer to the official Akridata documentation.
Examples
Check out the akride-examples
repository for examples of using akride
client to interact with DataExplorer
For more information about AkriData, please visit akridata.ai.
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