Text or Call: 833-432-6565 (4-Dan-Lok)
(Add 1+ for outside of North America)
Even with an automated setup, always use conda or venv to keep project dependencies isolated.
If the connection succeeded, the controller screen will display or a strong signal indicator.
- component: "TensorFlow" version: "2.15.0"
Ensure your system package list is updated. Open your terminal and run: sudo apt update && sudo apt upgrade -y Use code with caution. 2. Initiating the InstallML Script
Whether you are using an mobile device to configure the connection? installml.com setup
Option to install Jupyter Lab or VS Code extensions. Configuring the Environment After Setup
The portal will automatically display all locally scanned 2.4 GHz networks. from the list.
Leo copied the setup string provided: curl -sSL https://installml.com | bash .
Keep your smartphone, tablet, or laptop within 5 to 10 feet of the generator’s control panel during setup. Phase 2: Step-by-Step InstallML Wi-Fi Setup Even with an automated setup, always use conda
Once the setup is complete, the Mobile Link app becomes your command center for the generator. The primary function of connecting your generator to Wi-Fi is to enable remote monitoring and control via the Mobile Link app. Through the app, you can:
Press the Menu button on the controller display.
: Works across various Linux distributions, making it ideal for both local workstations and cloud VMs. Common Use Cases
Setting up a machine learning environment commonly involves creating a Python virtual environment and installing core libraries such as pandas, scikit-learn, and TensorFlow or PyTorch. For specific ML tools, setting up often requires running pip install requirements.txt file or executing a docker-compose.yml Open your terminal and run: sudo apt update
The page will display the initial instructions. Click or Continue .
The screen will display a message indicating it is broadcasting. Keep this screen active. Step 2: Connect to the Generator's Local Hotspot
Ensure you are running scripts with sudo .