Updated 'Evaluating operation parameters' section
"cell_type": "markdown",
"metadata": {},
"source": [
- "When applying an operation there are often various parameters to vary. Using traditional plotting methods it's often difficult to evaluate them interactively to get an detailed understanding of what they do. Here we will apply the ``rolling`` operations with varying ``rolling_window`` widths and ``window_type``s:"
+ "When applying an operation there are often various parameters to vary. Using traditional plotting approaches it's often difficult to evaluate them interactively to get an detailed understanding of what they do. Here we will apply the ``rolling`` operations with varying ``rolling_window`` widths and ``window_type``s across a ``HoloMap``:"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "This view is already useful since we can compare the various parameter values. However since we can also chain operations we can also easily compute the residual and view the two together. To do so we simply overlay the ``HoloMap`` of smoothed curves on top of the original curve and again pass it to our new ``residual`` function. Then we again combine the the smoothed view with the original and see how the smoothing and residual vary with the operation parameters:"
+ "This visualization is already useful as we can compare between various parameter values by moving the slider and trying different window options. However since we can also chain operations we can also easily compute the residual and view the two together. \n",
+ "\n",
+ "To do this we simply overlay the ``HoloMap`` of smoothed curves on top of the original curve and pass it to our new ``residual`` function. Then we can combine the smoothed view with the original and see how the smoothing and residual curves vary across parameter values:"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Using just a few more lines we have now evaluated the operation over a combination of different parameters providing a quick way to not only process data but gain a better understanding of both the parameters of the operation and the underlying data.\n",
+ "Using a few additional lines we have now evaluated the operation over a number of different parameters values, allowing us to process the data with different smoothing parameters. In addition, by interacting with this visualization we can gain a better understanding of the operation parameters as well as gain insights into the structure of the underlying data.\n",
"\n",
"## Benefits of using operations\n",
"\n",
