Neuron

Neuron allows us to use comparison functions and <code> sum() </code> aggregation function to count the number of data points for which a condition is true.

To count data points that match a condition:

Create a transform that uses a comparison function to define a filter condition on another property.

Create a metric that sums the data points where that condition is met.

1. Create a transform that uses a comparison function to define a filter condition on another property.
2. Create a metric that sums the data points where that condition is met.

Example: counting the number of data points where water is boiling

Consider a scenario where you have a measurement, <code> temp </code>, that provides the temperature (in Celsius) of water in a machine.

You can define the following transform and metric properties to count the number of data points where the water is boiling:

Transform: <code> is_boiling = gte(temp_c, 100) </code> – Returns <code> 1 </code> if the temperature is greater than or equal to 100 degrees Celsius, otherwise returns <code> 0 </code>.

Metric: <code> boiling_count = sum(is_boiling) </code> – Returns the number of data points where water is boiling.

- Transform: <code> is_boiling = gte(temp_c, 100) </code> – Returns <code> 1 </code> if the temperature is greater than or equal to 100 degrees Celsius, otherwise returns <code> 0 </code>.
- Metric: <code> boiling_count = sum(is_boiling) </code> – Returns the number of data points where water is boiling.

Counting data points that match a condition

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