Shapr version 1.0.0

[martinju]

This should merge to master what eventually becomes shapr 1.0.0.
All changes up until that point should be made through separate PRs to be merge into the shapr_1.0.0 branch

Required in this PR

• Add adaptive estimation
• Add verbose
• Get shaprpy to work again
• Get explain_forecast to work again
• Update explain_forecast to the new adaptive version
• Add asymmetric/causal to explain

Other mandatory TODOs

• Update the NEWS file

Minor TODOs (some might be skipped before release)

• Consider moving compute_sd, n_boot_samps, max_batch_size, min_n_batches, saving_path out of adaptive_arguments and into a new argument list called something like additional_estimation_args Move things around #404
• Consider renaming adaptive_arguments to adaptive_args Move things around #404
• Consider moving keep_samp_for_vS and MSEv_uniform_comb_weights into a input arg called something like output_args Move things around #404
• Consider renaming shapley_reweighting to kernelSHAP_reweighting Move things around #404
• Consider moving saving_path and iter_res_dt to the main output to make it easier to access for users Move things around #404
• add skip_on_os("mac)" for the vaeac tests which fails on mac due to differenences in torch seed (after Lars have verified the results locally on mac)

[martinju]

@aredelmeier Not sure if you consider yourself done with spell checks etc, but if you are going to do more, you can actually create a separate PR which is proposed merged into the shapr-1.0.0 branch (this one).
That's more efficient, and we can keep this PR a bit cleaner :-)