Gradientware? Seems verbose and isn’t robust to other ML approaches to fit data.
Datagenicware? Captures the core of what makes them like that, but it’s a mouthful.
Modelware? I don’t love it
Puttyware? Aims to capture the “takes the shape of its surroundings” aspect, might be too abstract though. Also implies that it will take the shape of its current surroundings, rather than the ones it was built with
Resinware—maybe more evocative of the “was fit very closely to its particular surroundings”, but still doesn’t seem to capture quite what I want
Gradientware? Seems verbose and isn’t robust to other ML approaches to fit data.
Datagenicware? Captures the core of what makes them like that, but it’s a mouthful.
Modelware? I don’t love it
Puttyware? Aims to capture the “takes the shape of its surroundings” aspect, might be too abstract though. Also implies that it will take the shape of its current surroundings, rather than the ones it was built with
Resinware—maybe more evocative of the “was fit very closely to its particular surroundings”, but still doesn’t seem to capture quite what I want