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Emad Ezzeldin
Emad Ezzeldin
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Take Figure 1 showing point interpolation, where point L0 is being interpolated using points L2 and L1 and the distances L11, L12, L21, and L22.

Figure 1. Interpolation of point L0

Table 1. Dataframe representation for Figure 1.

Whilst the graph shows a linear interpolation example, it is just to demo the idea whilst the Target variable is a product sum of arrays (non-linear)

Target/L0 = L1_Lag_Point * L11 + L1_Lead_Point * L12 + L2_Lag_Point * L21 + L2_Lead_Point * L22

Can a Machine Learning Algorithm understand that L11 is associated ONLY with Lagging Point L1, L12 with Leading Point L1, L21 with Lagging Point L2, and L22 with Leading Point L2?!

Take Figure 1 showing point interpolation, where point L0 is being interpolated using points L2 and L1 and the distances L11, L12, L21, and L22.

Figure 1. Interpolation of point L0

Table 1. Dataframe representation for Figure 1.

Target/L0 = L1_Lag_Point * L11 + L1_Lead_Point * L12 + L2_Lag_Point * L21 + L2_Lead_Point * L22

Can a Machine Learning Algorithm understand that L11 is associated ONLY with Lagging Point L1, L12 with Leading Point L1, L21 with Lagging Point L2, and L22 with Leading Point L2?!

Take Figure 1 showing point interpolation, where point L0 is being interpolated using points L2 and L1 and the distances L11, L12, L21, and L22.

Figure 1. Interpolation of point L0

Table 1. Dataframe representation for Figure 1.

Whilst the graph shows a linear interpolation example, it is just to demo the idea whilst the Target variable is a product sum of arrays (non-linear)

Target/L0 = L1_Lag_Point * L11 + L1_Lead_Point * L12 + L2_Lag_Point * L21 + L2_Lead_Point * L22

Can a Machine Learning Algorithm understand that L11 is associated ONLY with Lagging Point L1, L12 with Leading Point L1, L21 with Lagging Point L2, and L22 with Leading Point L2?!

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Emad Ezzeldin
Emad Ezzeldin
  • 151
  • 9

Take Figure 1 showing point interpolation, where point L0 is being interpolated using points L2 and L1 and the distances L11, L12, L21, and L22.

Figure 1. Interpolation of point L0

Table 1. Dataframe representation for Figure 1.

Target/L0 = L1_Lag_Point * L11 + L1_Lead_Point * L12 + L2_Lag_Point * L21 + L2_Lead_Point * L22

Can a Machine Learning Algorithm understand that L11 is associated ONLY with Lagging Point L1, L12 with Leading Point L1, L21 with Lagging Point L2, and L22 with Leading Point L2?!

Take Figure 1 showing point interpolation, where point L0 is being interpolated using points L2 and L1 and the distances L11, L12, L21, and L22.

Figure 1. Interpolation of point L0

Table 1. Dataframe representation for Figure 1.

Can a Machine Learning Algorithm understand that L11 is associated ONLY with Lagging Point L1, L12 with Leading Point L1, L21 with Lagging Point L2, and L22 with Leading Point L2?!

Take Figure 1 showing point interpolation, where point L0 is being interpolated using points L2 and L1 and the distances L11, L12, L21, and L22.

Figure 1. Interpolation of point L0

Table 1. Dataframe representation for Figure 1.

Target/L0 = L1_Lag_Point * L11 + L1_Lead_Point * L12 + L2_Lag_Point * L21 + L2_Lead_Point * L22

Can a Machine Learning Algorithm understand that L11 is associated ONLY with Lagging Point L1, L12 with Leading Point L1, L21 with Lagging Point L2, and L22 with Leading Point L2?!

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Emad Ezzeldin
Emad Ezzeldin
  • 151
  • 9

Can Machine Learning Algorithms Process Contextual Features for Regression?

Take Figure 1 showing point interpolation, where point L0 is being interpolated using points L2 and L1 and the distances L11, L12, L21, and L22.

Figure 1. Interpolation of point L0

Table 1. Dataframe representation for Figure 1.

Can a Machine Learning Algorithm understand that L11 is associated ONLY with Lagging Point L1, L12 with Leading Point L1, L21 with Lagging Point L2, and L22 with Leading Point L2?!