conf.yaml

# Sample configuration file for a multi-core machine
# Each worker is running on a seperate core
---
- nodes:
    - {name: w1, host: localhost, port: 45000}
    - {name: w2, host: localhost, port: 45001}
    - {name: w3, host: localhost, port: 45002}
    - {name: w4, host: localhost, port: 45003}
    - {name: w5, host: localhost, port: 45004}
    - {name: w6, host: localhost, port: 45005}
    - {name: w7, host: localhost, port: 45006}
    - {name: w8, host: localhost, port: 45007}
#    - {name: w9, host: localhost, port: 45008}
#    - {name: w10, host: localhost, port: 45009}
#    - {name: w11, host: localhost, port: 45010}
#    - {name: w12, host: localhost, port: 45011}
- arch:
    - 'w1': {'w2': 3, 'w4': 2}
    - 'w2': {'w1': 3, 'w5': 1, 'w7': 1}
    - 'w3': {'w5': 4}
    - 'w4': {'w1': 2, 'w7': 2}
    - 'w5': {'w2': 1, 'w3': 4, 'w6': 2}
    - 'w6': {'w5': 2, 'w7': 3}
    - 'w7': {'w2': 1, 'w4': 2, 'w6': 3, 'w8': 4}
    - 'w8': {'w7': 4}

# Learning rate
- lr: 0.01

# Number of iterations
- epoches: 10

# Shuffle the data:
- shuffle: True

# Fix a random state
- random_state: None

# The probability of initiating a fetch parameter request
- fetch_probability: 1

# The timeout value is used for flow-control
- timeout_ms: 2500

# Choose interpolation method: clock, loss or constant
- interpolation: constant

# Diverge models when loss is reaching the value specified here (use 0 to disable)
- divergence_threshold: 0.2

# Individual interpolation methods configuration:

- constant: { value: 0.5 }

- clock: 0

- loss: 0